- Database as a Service (DBaaS) adoption is expected to triple over the next two years as enterprises rethink data management in the cloud. A significant amount of enterprise data and core workloads will shift to cloud platforms.
- By 2024, 43% of organizations expect to run over 25% of their workloads in the cloud, compared to 14% currently. A third of data assets will be cloud-based, compared to 11% currently.
- Developers are increasingly using cloud environments for application development and testing. Over a third are running transactional databases in the cloud. Cost cutting and efficiency are driving more organizations to deliver database services in the cloud.
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...IRJET Journal
This document discusses big data analytical methods, cloud computing, and how they can be combined. It explains that big data involves large amounts of structured, semi-structured, and unstructured data from various sources that requires significant computing resources to analyze. Cloud computing provides a way for big data analytics to be offered as a service and processed efficiently using cloud resources. The integration of big data and cloud computing allows organizations to gain business intelligence from large datasets in a flexible, scalable and cost-effective manner.
Decision Ready Data: Power Your Analytics with Great DataDLT Solutions
Murthy Mathiprakasam, Principal Product Marketing Manager at Informatica, shares how to power your analytics with great data from the 2015 Informatica Government Summit.
This document provides an overview and introduction to big data implementation strategies using Hadoop and beyond. It discusses how big data has evolved from technologies pioneered by companies like Google to analyze vast amounts of diverse data cheaper and more effectively than traditional methods. It also outlines some of the key challenges organizations face as data volumes, varieties, and velocities outgrow existing systems, and how new big data technologies like Hadoop provide more cost-effective solutions to process and analyze data at scale. The document notes that big data represents a shift in computing paradigms rather than just data size alone.
Moving Toward Big Data: Challenges, Trends and PerspectivesIJRESJOURNAL
Abstract: Big data refers to the organizational data asset that exceeds the volume, velocity, and variety of data typically stored using traditional structured database technologies. This type of data has become the important resource from which organizations can get valuable insightand make business decision by applying predictive analysis. This paper provides a comprehensive view of current status of big data development,starting from the definition and the description of Hadoop and MapReduce – the framework that standardizes the use of cluster of commodity machines to analyze big data. For the organizations that are ready to embrace big data technology, significant adjustments on infrastructure andthe roles played byIT professionals and BI practitioners must be anticipated which is discussed in the challenges of big data section. The landscape of big data development change rapidly which is directly related to the trend of big data. Clearly, a major part of the trend is the result ofthe attempt to deal with the challenges discussed earlier. Lastly the paper includes the most recent job prospective related to big data. The description of several job titles that comprise the workforce in the area of big data are also included.
Ventana Research Big Data Integration Benchmark Research Executive ReportVentana Research
Data continues to flood into today’s enterprises in ever-increasing velocity, variety and volume. This big data brings with it challenges – in storing it and in integrating it all into a form that can be used for business tasks. Many organizations try to use technology already on hand to collect, access and integrate big data. But processing manually or using legacy tools is slow and risks creating errors that undermine the value of the information and cause users to lose confidence in it. Automated processes using technology specifically designed for big data integration can overcome these issues and enable businesses to use the information to make decisions.
This document summarizes key findings from a survey of 200 IT professionals about big data analytics. The main findings are:
- Big data and data center infrastructure updates are the top strategic priorities for IT managers. Big data is the number one priority for 21% of respondents.
- Most organizations already have a formal big data analytics strategy in place or plan to have one within the next six months. The majority will have a strategy within a year.
- Over half of respondents have already deployed or are currently implementing the Apache Hadoop framework. Half of those use an internal private cloud.
- The leading current uses of big data relate to understanding staffing levels and productivity, and generating competitive intelligence. Future uses
IIA: The Current State of Hadoop in the EnterpriseCoy Dean
The document discusses the current state of Hadoop adoption in enterprises. While interest in Hadoop's potential is growing, actual adoption rates remain modest, with most enterprises in early evaluation or piloting stages. Only around 1,000-1,500 global organizations are estimated to currently use Hadoop in production. However, commercial Hadoop vendors are experiencing healthy revenue growth, indicating broader adoption may be on the horizon. Key drivers for Hadoop adoption include its low-cost, scalable data storage and processing capabilities.
This document provides an overview of predictive analytics and its growing importance. It discusses how advances in technologies like cloud computing and the internet of things are enabling businesses to gather and analyze vast amounts of data. While descriptive and diagnostic analytics describe what happened in the past, predictive analytics uses statistical techniques to create models that forecast future outcomes. The document outlines several key drivers that are pushing predictive analytics towards mainstream adoption over the next few years, including easier-to-use tools, open source software, innovation from startups, and the availability of cloud-based solutions. It concludes that the combination of big data and predictive analytics will continue to accelerate innovation across industries.
IRJET- A Scrutiny on Research Analysis of Big Data Analytical Method and Clou...IRJET Journal
This document discusses big data analytical methods, cloud computing, and how they can be combined. It explains that big data involves large amounts of structured, semi-structured, and unstructured data from various sources that requires significant computing resources to analyze. Cloud computing provides a way for big data analytics to be offered as a service and processed efficiently using cloud resources. The integration of big data and cloud computing allows organizations to gain business intelligence from large datasets in a flexible, scalable and cost-effective manner.
Decision Ready Data: Power Your Analytics with Great DataDLT Solutions
Murthy Mathiprakasam, Principal Product Marketing Manager at Informatica, shares how to power your analytics with great data from the 2015 Informatica Government Summit.
This document provides an overview and introduction to big data implementation strategies using Hadoop and beyond. It discusses how big data has evolved from technologies pioneered by companies like Google to analyze vast amounts of diverse data cheaper and more effectively than traditional methods. It also outlines some of the key challenges organizations face as data volumes, varieties, and velocities outgrow existing systems, and how new big data technologies like Hadoop provide more cost-effective solutions to process and analyze data at scale. The document notes that big data represents a shift in computing paradigms rather than just data size alone.
Moving Toward Big Data: Challenges, Trends and PerspectivesIJRESJOURNAL
Abstract: Big data refers to the organizational data asset that exceeds the volume, velocity, and variety of data typically stored using traditional structured database technologies. This type of data has become the important resource from which organizations can get valuable insightand make business decision by applying predictive analysis. This paper provides a comprehensive view of current status of big data development,starting from the definition and the description of Hadoop and MapReduce – the framework that standardizes the use of cluster of commodity machines to analyze big data. For the organizations that are ready to embrace big data technology, significant adjustments on infrastructure andthe roles played byIT professionals and BI practitioners must be anticipated which is discussed in the challenges of big data section. The landscape of big data development change rapidly which is directly related to the trend of big data. Clearly, a major part of the trend is the result ofthe attempt to deal with the challenges discussed earlier. Lastly the paper includes the most recent job prospective related to big data. The description of several job titles that comprise the workforce in the area of big data are also included.
Ventana Research Big Data Integration Benchmark Research Executive ReportVentana Research
Data continues to flood into today’s enterprises in ever-increasing velocity, variety and volume. This big data brings with it challenges – in storing it and in integrating it all into a form that can be used for business tasks. Many organizations try to use technology already on hand to collect, access and integrate big data. But processing manually or using legacy tools is slow and risks creating errors that undermine the value of the information and cause users to lose confidence in it. Automated processes using technology specifically designed for big data integration can overcome these issues and enable businesses to use the information to make decisions.
This document summarizes key findings from a survey of 200 IT professionals about big data analytics. The main findings are:
- Big data and data center infrastructure updates are the top strategic priorities for IT managers. Big data is the number one priority for 21% of respondents.
- Most organizations already have a formal big data analytics strategy in place or plan to have one within the next six months. The majority will have a strategy within a year.
- Over half of respondents have already deployed or are currently implementing the Apache Hadoop framework. Half of those use an internal private cloud.
- The leading current uses of big data relate to understanding staffing levels and productivity, and generating competitive intelligence. Future uses
IIA: The Current State of Hadoop in the EnterpriseCoy Dean
The document discusses the current state of Hadoop adoption in enterprises. While interest in Hadoop's potential is growing, actual adoption rates remain modest, with most enterprises in early evaluation or piloting stages. Only around 1,000-1,500 global organizations are estimated to currently use Hadoop in production. However, commercial Hadoop vendors are experiencing healthy revenue growth, indicating broader adoption may be on the horizon. Key drivers for Hadoop adoption include its low-cost, scalable data storage and processing capabilities.
This document provides an overview of predictive analytics and its growing importance. It discusses how advances in technologies like cloud computing and the internet of things are enabling businesses to gather and analyze vast amounts of data. While descriptive and diagnostic analytics describe what happened in the past, predictive analytics uses statistical techniques to create models that forecast future outcomes. The document outlines several key drivers that are pushing predictive analytics towards mainstream adoption over the next few years, including easier-to-use tools, open source software, innovation from startups, and the availability of cloud-based solutions. It concludes that the combination of big data and predictive analytics will continue to accelerate innovation across industries.
1) The document discusses how life sciences organizations are dealing with large amounts of data from various sources (big data) and the challenges this presents for data governance.
2) It recommends that organizations take a "democratized" approach to data governance, involving various business functions rather than just a centralized group.
3) Key aspects of data governance like organization structure, metadata management, and data security need to be realigned to accommodate big data through expanded roles and use of new technologies.
This document provides an overview of social media and big data analytics. It discusses key concepts like Web 2.0, social media platforms, big data characteristics involving volume, velocity, variety, veracity and value. The document also discusses how social media data can be extracted and analyzed using big data tools like Hadoop and techniques like social network analysis and sentiment analysis. It provides examples of analyzing social media data at scale to gain insights and make informed decisions.
Capitalize On Social Media With Big Data AnalyticsHassan Keshavarz
This document discusses how companies can capitalize on social media through big data analytics. It notes that while social media promises benefits, most companies struggle to measure the true value and impact. To leverage social media effectively, the entire business must be aligned in their interactions. The document also discusses how analyzing large datasets through big data analytics can provide strategic insights for success, maximize product performance, and deliver real business value. It emphasizes the need for companies to measure social media's impact on key metrics and business goals.
This article takes a look at some of the reasons behind this data explosion, and some of the possible effects if the growth is not managed. We’ll also examine some of the ways in which these problems can be avoided.
BIG Data & Hadoop Applications in Social MediaSkillspeed
This document discusses how major social media networks like Facebook, Twitter, LinkedIn, Pinterest, and Instagram utilize big data and Hadoop technologies. It provides examples of how each network uses Hadoop for tasks like storing user data, performing analytics, and generating personalized recommendations at massive scales as their user bases and data volumes grow enormously. The document also briefly outlines SkillSpeed's Hadoop training course, which covers topics like HDFS, MapReduce, Pig, Hive, HBase and more to prepare students for jobs working with big data.
The document discusses emerging trends in IT technology in 2014, including:
1) Increased mobile diversity and rise of mobile apps, with no single platform or vendor dominating the mobile space. Hybrid apps allow development once for multiple platforms.
2) Growth of big data and analytics, with Hadoop as a leading platform for processing vast amounts of structured and unstructured data.
3) Continued growth of cloud computing, with more enterprise applications and personal data moving to cloud platforms like IaaS, PaaS, and SaaS.
4) Emergence of internet of things through connected devices and wearables, with over 130 million smart devices shipping by 2018. Software developers will need to learn new APIs to develop
IT plays a critical role in managing big data and selecting infrastructure to support current and future analytics needs. CIOs can lead IT reactively to needs or proactively implement strategic solutions. This document outlines key elements of a strategic big data analytics architecture, including in-database analytics, in-memory processing, and Hadoop, and criteria for evaluating solutions like analytical speed and flexibility. CIOs who implement strategic solutions that meet business needs can raise IT's profile in the organization.
1. The document provides an overview of Hadoop and big data technologies, use cases, common components, challenges, and considerations for implementing a big data initiative.
2. Financial and IT analytics are currently the top planned use cases for big data technologies according to Forrester Research. Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers.
3. Organizations face challenges in implementing big data initiatives including skills gaps, data management issues, and high costs of hardware, personnel, and supporting new technologies. Careful planning is required to realize value from big data.
The document discusses big data challenges faced by organizations. It identifies several key challenges: heterogeneity and incompleteness of data, issues of scale as data volumes increase, timeliness in processing large datasets, privacy concerns, and the need for human collaboration in analyzing data. The document describes surveying various organizations in Pakistan, including educational institutions, telecommunications companies, hospitals, and electrical utilities, to understand the big data problems they face. Common challenges included data errors, missing or incomplete data, lack of data management tools, and issues integrating different data sources. The survey found that while some organizations used big data tools, many educational institutions in particular did not, limiting their ability to effectively manage and analyze their large and growing datasets.
A well-planned data strategy and architecture are essential for companies operating in a multicloud environment to avoid data silos and ensure data is accessible across applications and clouds. A data fabric approach organizes data into centralized hubs or lakes for visibility and access across the enterprise. This allows companies to distribute workloads, applications, and data as needed across different cloud providers while maintaining a unified view of their data. The data strategy must accommodate different usage patterns and distribution of data and services across multiple clouds.
Integrating Structure and Analytics with Unstructured DataDATAVERSITY
How can you make sense of messy data? How do you wrap structure around non-relational, flexibly structured data? With the growth in cloud technologies, how do you balance the need for flexibility and scale with the need for structure and analytics? Join us for an overview of the marketplace today and a review of the tools needed to get the job done.
During this hour, we'll cover:
- How big data is challenging the limits of traditional data management tools
- How to recognize when tools like MongoDB, Hadoop, IBM Cloudant, R Studio, IBM dashDB, CouchDB, and others are the right tools for the job.
This document discusses big data and provides an overview of key concepts and technologies. It defines big data as large volumes of data in various formats that are growing rapidly. It describes the four V's of big data - volume, velocity, variety, and value. The document then provides an overview of big data technologies like columnar databases, NoSQL, and Hadoop that are designed to handle large and complex data sets.
Data is not consistent, sometimes searches or general interest in certain topics, say social media or other types of data experienced peaks and valleys. Data analysis techniques allow the data scientist to mine this type of unstable data and still draw meaningful conclusions from it.
This document discusses future trends in big data. It notes that the amount of data produced grows enormously every year due to new technologies and devices. Big data provides businesses with better sources of analysis and insights. Key trends discussed include the growth of open source tools like Hadoop and Spark, increased use of machine learning and predictive analytics, edge computing and analytics to process IoT data more efficiently, integration of big data and cloud computing, use of big data for cybersecurity, and growing demand for data science jobs. The conclusion states that big data will significantly impact businesses and 15% of IT organizations will move services to the cloud by 2021.
This report examines the rise of big data and analytics used to analyze large volumes of data. It is based on a survey of 302 BI professionals and interviews. Most organizations have implemented analytical platforms to help analyze growing amounts of structured data. New technologies also analyze semi-structured data like web logs and machine data. While reports and dashboards serve casual users, more advanced analytics are needed for power users to fully leverage big data.
Big data document (basic concepts,3vs,Bigdata vs Smalldata,importance,storage...Taniya Fansupkar
This document provides an overview of big data, including its definition, origins, characteristics, importance, and opportunities and challenges. It describes big data as large volumes of diverse data that require new technologies and techniques to capture, curate, manage and process within a tolerable time. Big data is characterized by its volume, velocity and variety. Analyzing big data can provide benefits such as cost reductions, time reductions, new product development and smart decision making. It also discusses storing, processing and analyzing data at the edge of networks.
This document discusses the paradigm shift in data integration due to growing amounts of data from various sources. It outlines 5 principles and 5 capabilities of modern data integration, which takes processing to where the data lives, leverages multiple platforms, moves data point-to-point, manages rules centrally, and allows changes using existing logic. A case study shows how a bank migrated data to Hadoop in 3 weeks using these principles, lowering costs by 50% compared to traditional ETL. Looking ahead, real-time data access will become more important for businesses.
Computernetzwerke in der Kreditwirtschaft der Bundesrepublik und der DDR, 1975 – 1990. Von Martin Schmitt, Zentrum für Zeithistorische Forschung. Gehalten am Heinz Nixdorf Museumsforum am 25.10.2016
El documento proporciona información sobre tres tipos de cáncer: cáncer de cuello uterino, cáncer de colon y cáncer de mama. Describe las técnicas para detectar cada tipo de cáncer, como sangrado vaginal anormal para el cáncer de cuello uterino, cambios en el ritmo intestinal y sangre en las heces para el cáncer de colon, y la aparición de un bulto palpable para el cáncer de mama. También enumera los principales factores de riesgo para cada tipo de cáncer, como infe
1) The document discusses how life sciences organizations are dealing with large amounts of data from various sources (big data) and the challenges this presents for data governance.
2) It recommends that organizations take a "democratized" approach to data governance, involving various business functions rather than just a centralized group.
3) Key aspects of data governance like organization structure, metadata management, and data security need to be realigned to accommodate big data through expanded roles and use of new technologies.
This document provides an overview of social media and big data analytics. It discusses key concepts like Web 2.0, social media platforms, big data characteristics involving volume, velocity, variety, veracity and value. The document also discusses how social media data can be extracted and analyzed using big data tools like Hadoop and techniques like social network analysis and sentiment analysis. It provides examples of analyzing social media data at scale to gain insights and make informed decisions.
Capitalize On Social Media With Big Data AnalyticsHassan Keshavarz
This document discusses how companies can capitalize on social media through big data analytics. It notes that while social media promises benefits, most companies struggle to measure the true value and impact. To leverage social media effectively, the entire business must be aligned in their interactions. The document also discusses how analyzing large datasets through big data analytics can provide strategic insights for success, maximize product performance, and deliver real business value. It emphasizes the need for companies to measure social media's impact on key metrics and business goals.
This article takes a look at some of the reasons behind this data explosion, and some of the possible effects if the growth is not managed. We’ll also examine some of the ways in which these problems can be avoided.
BIG Data & Hadoop Applications in Social MediaSkillspeed
This document discusses how major social media networks like Facebook, Twitter, LinkedIn, Pinterest, and Instagram utilize big data and Hadoop technologies. It provides examples of how each network uses Hadoop for tasks like storing user data, performing analytics, and generating personalized recommendations at massive scales as their user bases and data volumes grow enormously. The document also briefly outlines SkillSpeed's Hadoop training course, which covers topics like HDFS, MapReduce, Pig, Hive, HBase and more to prepare students for jobs working with big data.
The document discusses emerging trends in IT technology in 2014, including:
1) Increased mobile diversity and rise of mobile apps, with no single platform or vendor dominating the mobile space. Hybrid apps allow development once for multiple platforms.
2) Growth of big data and analytics, with Hadoop as a leading platform for processing vast amounts of structured and unstructured data.
3) Continued growth of cloud computing, with more enterprise applications and personal data moving to cloud platforms like IaaS, PaaS, and SaaS.
4) Emergence of internet of things through connected devices and wearables, with over 130 million smart devices shipping by 2018. Software developers will need to learn new APIs to develop
IT plays a critical role in managing big data and selecting infrastructure to support current and future analytics needs. CIOs can lead IT reactively to needs or proactively implement strategic solutions. This document outlines key elements of a strategic big data analytics architecture, including in-database analytics, in-memory processing, and Hadoop, and criteria for evaluating solutions like analytical speed and flexibility. CIOs who implement strategic solutions that meet business needs can raise IT's profile in the organization.
1. The document provides an overview of Hadoop and big data technologies, use cases, common components, challenges, and considerations for implementing a big data initiative.
2. Financial and IT analytics are currently the top planned use cases for big data technologies according to Forrester Research. Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers.
3. Organizations face challenges in implementing big data initiatives including skills gaps, data management issues, and high costs of hardware, personnel, and supporting new technologies. Careful planning is required to realize value from big data.
The document discusses big data challenges faced by organizations. It identifies several key challenges: heterogeneity and incompleteness of data, issues of scale as data volumes increase, timeliness in processing large datasets, privacy concerns, and the need for human collaboration in analyzing data. The document describes surveying various organizations in Pakistan, including educational institutions, telecommunications companies, hospitals, and electrical utilities, to understand the big data problems they face. Common challenges included data errors, missing or incomplete data, lack of data management tools, and issues integrating different data sources. The survey found that while some organizations used big data tools, many educational institutions in particular did not, limiting their ability to effectively manage and analyze their large and growing datasets.
A well-planned data strategy and architecture are essential for companies operating in a multicloud environment to avoid data silos and ensure data is accessible across applications and clouds. A data fabric approach organizes data into centralized hubs or lakes for visibility and access across the enterprise. This allows companies to distribute workloads, applications, and data as needed across different cloud providers while maintaining a unified view of their data. The data strategy must accommodate different usage patterns and distribution of data and services across multiple clouds.
Integrating Structure and Analytics with Unstructured DataDATAVERSITY
How can you make sense of messy data? How do you wrap structure around non-relational, flexibly structured data? With the growth in cloud technologies, how do you balance the need for flexibility and scale with the need for structure and analytics? Join us for an overview of the marketplace today and a review of the tools needed to get the job done.
During this hour, we'll cover:
- How big data is challenging the limits of traditional data management tools
- How to recognize when tools like MongoDB, Hadoop, IBM Cloudant, R Studio, IBM dashDB, CouchDB, and others are the right tools for the job.
This document discusses big data and provides an overview of key concepts and technologies. It defines big data as large volumes of data in various formats that are growing rapidly. It describes the four V's of big data - volume, velocity, variety, and value. The document then provides an overview of big data technologies like columnar databases, NoSQL, and Hadoop that are designed to handle large and complex data sets.
Data is not consistent, sometimes searches or general interest in certain topics, say social media or other types of data experienced peaks and valleys. Data analysis techniques allow the data scientist to mine this type of unstable data and still draw meaningful conclusions from it.
This document discusses future trends in big data. It notes that the amount of data produced grows enormously every year due to new technologies and devices. Big data provides businesses with better sources of analysis and insights. Key trends discussed include the growth of open source tools like Hadoop and Spark, increased use of machine learning and predictive analytics, edge computing and analytics to process IoT data more efficiently, integration of big data and cloud computing, use of big data for cybersecurity, and growing demand for data science jobs. The conclusion states that big data will significantly impact businesses and 15% of IT organizations will move services to the cloud by 2021.
This report examines the rise of big data and analytics used to analyze large volumes of data. It is based on a survey of 302 BI professionals and interviews. Most organizations have implemented analytical platforms to help analyze growing amounts of structured data. New technologies also analyze semi-structured data like web logs and machine data. While reports and dashboards serve casual users, more advanced analytics are needed for power users to fully leverage big data.
Big data document (basic concepts,3vs,Bigdata vs Smalldata,importance,storage...Taniya Fansupkar
This document provides an overview of big data, including its definition, origins, characteristics, importance, and opportunities and challenges. It describes big data as large volumes of diverse data that require new technologies and techniques to capture, curate, manage and process within a tolerable time. Big data is characterized by its volume, velocity and variety. Analyzing big data can provide benefits such as cost reductions, time reductions, new product development and smart decision making. It also discusses storing, processing and analyzing data at the edge of networks.
This document discusses the paradigm shift in data integration due to growing amounts of data from various sources. It outlines 5 principles and 5 capabilities of modern data integration, which takes processing to where the data lives, leverages multiple platforms, moves data point-to-point, manages rules centrally, and allows changes using existing logic. A case study shows how a bank migrated data to Hadoop in 3 weeks using these principles, lowering costs by 50% compared to traditional ETL. Looking ahead, real-time data access will become more important for businesses.
Computernetzwerke in der Kreditwirtschaft der Bundesrepublik und der DDR, 1975 – 1990. Von Martin Schmitt, Zentrum für Zeithistorische Forschung. Gehalten am Heinz Nixdorf Museumsforum am 25.10.2016
El documento proporciona información sobre tres tipos de cáncer: cáncer de cuello uterino, cáncer de colon y cáncer de mama. Describe las técnicas para detectar cada tipo de cáncer, como sangrado vaginal anormal para el cáncer de cuello uterino, cambios en el ritmo intestinal y sangre en las heces para el cáncer de colon, y la aparición de un bulto palpable para el cáncer de mama. También enumera los principales factores de riesgo para cada tipo de cáncer, como infe
Un SIG está compuesto de cinco componentes fundamentales: hardware, software, datos, personal y métodos. El hardware se refiere a la computadora en la que opera el SIG, que puede ser desde servidores centralizados hasta computadoras de escritorio. El software incluye programas para capturar, almacenar, manipular, analizar y presentar datos geoespaciales. Los datos son la información geográfica almacenada en el sistema. El personal administra y opera el sistema y desarrolla aplicaciones. Los métodos son las técnicas y procedimientos utilizados para solucion
Problema de embotellamiento «trafico en china»Aiimar Sanchez
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las transacciones con bancos rusos clave y la prohibición de la venta de aviones y equipos a Rusia. Los líderes de la UE también acordaron excluir a varios bancos rusos del sistema SWIFT de mensajería financiera.
La motricidad fina implica la coordinación precisa de músculos, huesos y nervios para realizar movimientos pequeños como recoger un objeto pequeño con los dedos. Se opone a la motricidad gruesa que involucra movimientos más amplios del cuerpo. El desarrollo de la motricidad fina en los niños está ligado a su desarrollo cognitivo y motor, y tareas como recortar, dibujar o escribir requieren el control de esta habilidad.
joven Tom Holland será el nuevo Spider-Man en esta nueva película centrada en el famoso personaje de cómic, en esta ocasión co-producida entre Sony Pictures Entertainment y Marvel Studios.
I grew up in a small town in Kansas. My childhood was happy and carefree, spent playing outside with my friends every day after school and on weekends. Overall, I have many fond memories of my childhood in a simpler time and place.
veritas-state-of-the-hybrid-cloud-report-2016Don Harrison
The document summarizes the findings of a research report on the state of hybrid cloud. Some key findings include:
- Today 66% of workloads are in private or public clouds, with that percentage expected to grow significantly over the next 12 months.
- Both critical and non-critical workloads are increasingly being migrated to public clouds at similar rates.
- Most organizations are using multiple public cloud vendors and will continue to manage workloads across various on-premises, private and public cloud infrastructures.
This document summarizes the key findings of a survey conducted by Unisphere Research on the state of database administration. The survey found that:
1) While new technologies like Hadoop and NoSQL are gaining adoption, traditional relational database management systems (RDBMS) like Oracle and Microsoft SQL Server still form the foundation of information infrastructure for most organizations.
2) Database administrators (DBAs) are responsible for managing multiple database instances from different vendors, and the number of databases each DBA oversees is growing. DBAs are also taking on responsibility for administering new non-relational technologies like Hadoop and NoSQL.
3) Most companies use more than one database platform primarily to support different applications and user
Global software survey results - sme preferencesDaniel Smith
This paper explores the use of software in SMEs across the globe and is based on the results of a survey from October 2016 sent to over 4,000 SME business decision makers.
The death of desktop computing has been predicted by many people for many years. For the purposes of this paper we will consider the desktop pc and the laptop computer as one because we will be looking at the reason that the pc is still omnipresent; software.
In a seemingly cloud washed world, it would be easy to believe that everything is now accessed in the cloud, that nobody buys or installs software programs and that everything is device agnostic.
However, just looking around any office we can see that the pc is still alive and well, our survey found that 98% of respondents continue to use locally installed desktop software.
And what keeps the pc relevant is the software programs that users access on or from this device.
In this paper we will look at:
The adoption split between desktop software and cloud delivered services.
The types of software that are being used within businesses.
The preference of one software delivery model over another.
The reasons behind those preferences.
Trends in the market.
The document discusses several new trends in cloud computing including cloud as an innovation platform for mobile, social, and big data applications. It also discusses the growth of Platform-as-a-Service (PaaS), software-defined hardware, big data analytics in the cloud, security in the cloud, and cloud-based collaboration across generations in the workplace. A survey found that cloud adoption is now strategic for many companies and SaaS adoption has grown significantly while IaaS and PaaS are reaching a tipping point. The amount of data residing in the cloud is also expected to grow significantly in the next two years.
enterprise cloud computing adoption accelerated in 2016 and will do so again in 2017. are you ahead of your competitors or lagging behind the average enterprise? Infrastructure and operations (I&o) leaders must answer this question to chart their companies’ cloud futures. this report gathers important adoption metrics for public, private, and hybrid cloud and explores enterprise cloud priorities and policies to help you benchmark your progress against the broader market. use these benchmarks to inform your cloud strategic plan.
this is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy. We’re updating it now to include new data from Forrester’s Business technographics surveys.
enterprise cloud computing adoption accelerated in 2016 and will do so again in 2017. are you ahead of your competitors or lagging behind the average enterprise? Infrastructure and operations (I&o) leaders must answer this question to chart their companies’ cloud futures. this report gathers important adoption metrics for public, private, and hybrid cloud and explores enterprise cloud priorities and policies to help you benchmark your progress against the broader market. use these benchmarks to inform your cloud strategic plan.
this is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy. We’re updating it now to include new data from Forrester’s Business technographics surveys.
The document discusses how businesses are increasingly adopting public and private cloud services. It provides statistics showing that 58% of organizations currently use cloud services for small applications and workloads. The use of cloud infrastructure as a service (IaaS) and platform as a service (PaaS) is growing significantly and driving digital business innovation. The top challenges with public cloud include bandwidth costs, performance constraints, and cloud services going down. The document argues that adding flash memory to cloud infrastructure can enhance performance, reliability, and cost effectiveness by providing predictable performance, high throughput, and redundancy for critical workloads.
The cloud ROI multiplier, which is the relative return on investment from cloud applications versus on-premise ones, has increased to 2.1 times from 1.7 times since 2012. This analysis was based on case studies of various enterprise applications published by Nucleus Research. Cloud applications now deliver 63% lower initial consulting costs and 55% lower ongoing support costs compared to on-premise solutions. Additionally, cloud applications use 91% less energy and allow companies to more easily adopt new features and functionality without disruption, leading to even greater returns over time.
AMD 2011 Global Cloud Computing Adoption, Attitudes and Approaches StudyAMD
A global research report commissioned by AMD in 2011 to understand the current state of cloud computing. The findings revealed that while the cloud is maturing rapidly, challenges still remain
The Open Data Center Alliance (ODCA) conducted its annual member survey in 2014 on cloud adoption. The survey found a current preference among members for internal cloud solutions, but a growing interest in software defined networking and hybrid cloud models. Specifically, the number of respondents with over 60% of operations in a private cloud increased from 10% to 24% since 2012. Additionally, over half of respondents expect to have 40% or more of operations in an internal cloud by 2016, up from 38% in 2012. There was also a notable increase in interest in the ODCA's software defined networking usage model.
This document summarizes the key findings of a survey on cloud adoption trends:
- Cloud adoption is growing significantly, with over 60% of businesses using public cloud, 71% using private cloud, and 55% using hybrid cloud. Adoption of all cloud models is expected to continue growing in the next 18 months.
- Businesses are moving more workloads to the cloud, with the average expected to increase from 29% currently to 54% in the next two years. Cloud budgets are also increasing as a percentage of IT budgets.
- Over half of businesses now consider cloud essential to their business. Successful cloud adopters rely heavily on third-party experts for developing and implementing cloud strategies.
- Line of business decision
Cloud computing continues to transform the way organization are doing business, proving to be a transformative innovation for many enterprises. Considering how far the cloud has come in recent years spurs questions of what the future will look like and what types of changes we can expect.
Organizations have been putting the cloud to use for years, but recently the trickle of workloads being moved from on-premises to public cloud environments has grown into a tidal wave.
But just what public cloud infrastructure strategies are being used, in terms of the number of providers with which they partner, and do they see these services simply augmenting existing on-premises environments or as a means of revolutionizing them?
Read this ESG research brief to get the answer to these questions and more.
This research report analyzed the popularity and future growth of cloud computing in Dubai based on a survey of people working in the region. The key findings were that 42% of sampled companies currently use cloud services, but 29% have no plans to adopt it in the future. This suggests that while cloud computing is used, its growth may be limited. The report also outlined advantages of cloud computing like cost efficiency, backup/recovery, and easy data access/management based on secondary sources.
The document discusses cloud adoption trends and strategies. It finds that currently around half of companies use at least one public SaaS offering, with 20% planning to implement within a year. Around 42% of IT budgets are currently allocated to cloud services. Most companies consider cloud options alongside or before traditional options for new IT services. The document outlines five stages of cloud adoption maturity and finds around half of companies have managed or optimized cloud strategies currently, growing to around 60% in two years. It recommends starting cloud adoption to remain competitive and leverage flexibility.
This document provides a sector roadmap for cloud analytic databases in 2017. It discusses key topics such as usage scenarios, disruption vectors, and an analysis of companies in the sector. Some main points:
- Cloud databases can now be considered the default option for most selections in 2017 due to economics and functionality.
- Several newer cloud-native offerings have been able to leapfrog more established databases through tight integration of cloud features like elasticity and separation of compute and storage.
- While traditional database functionality is still required, cloud dynamics are causing needs for capabilities like robust SQL support, diverse data support, and dynamic environment adaptation.
- Vendor solutions are evaluated on disruption vectors including SQL support, optimization, elasticity, environment
Cloud Usage in Business Today and Tomorrowrftclouds
Reach for the Clouds, Inc. was formed to organizations migrate to the cloud with One Solution, One platform, one with your customer.
http://bit.ly/1wqmNX3
Cloud Computing Trends: at the Horizon\'s WatchJocelynDG
As follow up to our cloud primer, Cloud Computing: Fact versus Fog, Grail Research interviewed 20 cloud computing experts in order to offer cloud providers, investors and prospective customers a more detailed and consolidated understanding of who cloud customers are and what is driving them to move to cloud today. Experts interviewed for this study span a cross-section of the most progressive cloud thinkers, including industry analysts, senior executives at major cloud vendors, and founders of technology firms. This report summarizes the key themes about customers and adoption drivers that emerged from the research.
This document discusses cloud computing trends based on interviews with 20 cloud computing experts. It finds that the main customer segments adopting cloud computing are small and medium businesses (SMBs), large enterprises selectively, the U.S. government, and emerging markets. Accessibility, changing perceptions of risk, and adapting cloud models are driving more customers to adopt cloud now. The document provides details on each of these customer segments and drivers.
- Disaster recovery as a service (DRaaS) is now a mainstream offering supported by over 250 providers. This Magic Quadrant evaluates DRaaS providers to help data center managers choose one.
- By 2020, the use of DRaaS or infrastructure as a service (IaaS) to support failed-over production applications is projected to grow over 200%.
- DRaaS configurations, pricing, and service tiers have undergone significant changes in the past year, becoming more fragmented due to increased IaaS competition and flexible cloud usage policies from large providers.
Similar to database-cloud-ioug-survey-3000282 (20)
1. Sponsored by
By Joe McKendrick, Research Analyst
Produced by Unisphere Research,
a Division of Information Today, Inc.
April 2016
Produced by
DATABASE AS A SERVICE
ENTERS THE ENTERPRISE
MAINSTREAM
2016 IOUG SURVEY ON DATABASE CLOUD
2. 2
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
TABLE OF CONTENTS
Executive Summary��������������������������������������������������������������������������������������������������������������������������3
Re-Thinking Data Management�������������������������������������������������������������������������������������������������������4
Embracing the Cloud����������������������������������������������������������������������������������������������������������������������10
Enterprise Cloud Capabilities��������������������������������������������������������������������������������������������������������17
Database Designed for the Cloud��������������������������������������������������������������������������������������������������20
Demographics��������������������������������������������������������������������������������������������������������������������������������26
3. 3
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
EXECUTIVE SUMMARY
As cloud computing has risen across the enterprise landscape,
a new form of information delivery has taken hold. Commonly
referred to as Database as a Service, or DBaaS, this approach
promises to finally crack the puzzle that has inhibited enterprise
data shops for years—the challenge of sharing access to siloed
data stores.
A survey of more than 300 DBAs and IT professionals finds
growing interest in DBaaS as a viable approach to serving their
enterprise’s need for greater agility and faster time to market with
cloud computing. Many of the early hurdles delivering enterprise
capabilities for security and availability in the cloud—become
more evident with the reliance on hybrid cloud approaches and
need to move enterprise applications to the cloud and back on-
premises based on the business requirements of the organization,
their legacy investments, and regulatory requirements.
The survey, conducted by Unisphere Research, a division of
Information Today, Inc., finds that organizations are employing
a range of new strategies and approaches to build a DBaaS
capability in their enterprises. Conducted in partnership with
Oracle among members of the Independent Oracle Users Group
(IOUG), this study represents the views of respondents from
organizations of all sizes and across various industries.
Highlights of the research include the following findings:
n Database as a Service (DBaaS) is taking off, with adoption
tripling over the next 24 months. There will be a significant
amount of enterprise data shifting to the cloud over the next
24 months as well, as enterprises re-think data management in
the cloud.
n Enterprise customers see a future with hybrid approaches,
relying on a combination of private and public cloud
resources. As the number of cloud services within enterprises
grows, there will be more reliance on both for cost mitigation,
as well as backup and continuity.
n Cloud is increasingly seen as a highly agile and robust platform
for enterprise application development. More development
work is going to the cloud. Database backup and disaster
recovery, along with enterprise applications are the areas
seeing the greatest returns from cloud implementations.
n Significant segments of Oracle Database shops are adopting
a range of technologies to move their DBaaS efforts forward
into their enterprises. Oracle Multitenant, Oracle Enterprise
Manager, and Exadata are becoming mainstays for DBAs and
professionals seeking to deliver information on-demand to
whomever and wherever it is needed.
On the following pages are the results of this survey.
4. 4
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
RE-THINKING DATA MANAGEMENT
Database as a Service (DBaaS) is taking off, with adoption tripling over the next 24 months. There will be a significant amount
of enterprise data shifting to the cloud over the next 24 months as well, as enterprises re-think data management in the cloud.
Cloud is increasingly becoming a vital part of the data
management mainstream, the survey finds. Often looked
upon with suspicion and trepidation in its earlier days, cloud
computing has become the data management platform of choice
among a sizable segment of organizations.
To gauge the progress that cloud will be making as it enters
the enterprise mainstream, it is necessary to look at managers’
and professionals’ expectations 24 months down the road.
Notably, there is likely to soon be a major shift in core workloads
(databases, applications) to cloud platforms in the near future.
The survey finds an impending increase in organizations running
significant portions of the workloads (defined as greater than
25%) in the cloud—from a total of 14% today to 43% within the
next 2 2 years. (See Figure 1.)
The gradual shift to database clouds is already underway for
a number of organizations. Those organizations running the
majority of their workloads in the cloud also will see a notable
jump— from the current nine percent level to 25% within the
next 2 years.
Likewise, it’s instructive to look 2 years out at the types of
cloud services that will be in use. Clearly, data is at the core of
many cloud plans. Adoption of Database as a Service (DBaaS)
is set to almost triple over the next 2 years, the survey finds.
Seventy-three percent of managers and professionals expect to be
using DBaaS within their enterprises by that time, versus 27% at
the present time. Platform as a Service or PaaS—of which DBaaS
is a part—will also see growth across the board. PaaS, which also
involves the invocation of database services as well as associated
middleware, is likely to be adopted by 57% of enterprises in the
survey. Software as a Service (SaaS)—already a popular option
among a majority of enterprises—is seen as reaching a plateau of
adoption. (See Figure 2.)
The survey tracks a significant upcoming surge in enterprise
data assets moving to the cloud. At this time, about 11% of
respondents report that a significant portion of their companies’
data assets (defined as more than 25%) are managed in the cloud.
In 2 years, one-third estimate that sizable portions of their data
assets will be cloud-borne. (See Figure 3.) “Cloud-based solutions
provide greater value for our data, because they enable us to
concentrate primarily on our business and leave the infrastructure
worries to our service provider,” says a respondent.
What types of database workloads are being moved or will
soon be moved to the cloud? Dev/test environments dominate,
with 45% of managers and professionals in the survey reporting
that their developers are building and testing applications within
cloud-based environments. More than one-third also report
running transactional databases in cloud environments. (See
Figure 4.)
What parts of data environments are now accessible through
cloud-based interfaces? Close to one-third, in fact, point out
that their Oracle Databases themselves are now cloud accessible.
Another one-fourth say their non-Oracle databases are cloud-
accessible. Analytics is another area now being made accessible
through cloud. (See Figure 5.)
When looking at the greatest business benefits organizations
expect to see from delivering database services in the cloud, cost
cutting stands out. A majority of respondents, 52%, report they
are cutting expenses through efficiency gains. Just about as many,
44%, report they are saving money through the elimination of
duplication, and a similar number cite higher asset utilization.
(See Figure 6.)
Where will database cloud services benefit organizations
the most? Database backup and disaster recovery, along with
enterprise applications are the areas seeing the greatest returns
from cloud implementations, the survey finds. This points to the
growing acceptance of clouds into the enterprise mainstream.
“Cloud-based solutions can increase productivity, as they reduced
any worries over data loss, compared to those from traditional
non-cloud-based solutions,” one respondent remarked. (See
Figure 7.)
5. 5
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 1: What percentage of your enterprise’s core workloads (databases,
applications) are now running in the cloud, and what percentage
do you expect to be running 2 years from now?
Currently In 2 years
None at this time 26% 6%
1% to 10% 37% 11%
11% to 25% 12% 21%
26% to 50% 5% 18%
More than 50% 9% 25%
Don’t know/unsure 11% 20%
Figure 2: Which cloud services are used by your organization, and which
cloud services do you expect to be in use 2 years from now?
Currently In 2 years
None 77% 23%
SaaS 60% 54%
PaaS 43% 57%
DBaaS 27% 73%
6. 6
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 3: What percentage of your enterprise data assets are managed
in the cloud, and what percentage will be managed in the cloud
2 years from now?
Currently In 2 years
None at this time 34% 9%
1% to 10% 33% 15%
11% to 25% 11% 24%
26% to 50% 5% 13%
More than 50% 6% 20%
Don’t know/unsure 11% 20%
Figure 4: What types of database workloads are being moved or will soon be
moved to the cloud, versus staying on premises?
Archival data warehousing 61%
Develop/test databases 45%
Transactional/production databases 38%
Operational data warehousing 27%
Don’t know/unsure 19%
None 19%
0 20 40 60 80 100
0 20 40 60 80 100
7. 7
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 5: What parts of your data environment are now accessible through
cloud-based interfaces?
Oracle databases 29%
Non-Oracle databases 24%
Analytics 23%
Big data 19%
Analytics platforms 18%
Data warehouses 17%
Repositories 11%
Other 1%
None31%
Don’t know/unsure 16%
0 20 40 60 80 1000 20 40 60 80 100
8. 8
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 6: What are the greatest business benefits your organization expects
to see from delivering database services in the cloud?
Save costs by increasing operational 52%
efficiency through standardization
Save costs through elimination of 44%
duplication/replication of resources/
administration
Achieve higher asset utilization through 42%
consolidation to reduce costs
Advance business through greater agility 34%
and flexibility
Enhance availability, including backup 32%
and business continuity
Ability to innovate faster—improve time 26%
to market
Accelerate time to market for new 25%
application deployment
Increased support for end-user self-service 25%
Reduce “shadow IT” service acquisition 22%
Greater support for mobile initiatives 21%
More control over security and privacy 20%
Greater control over regulatory compliance 14%
Don’t know/unsure 15%
Other 2%
0 20 40 60 80 100
0 20 40 60 80 100
9. 9
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 7: Where will database cloud services benefit your organization
the most?
Database backup and disaster recovery 55%
Enterprise applications 55%
Departmental applications 32%
Mission-critical applications 26%
Don’t know/unsure 17%
Other 3%
0 20 40 60 80 100
0 20 40 60 80 100
10. 10
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
EMBRACING THE CLOUD
Enterprise customers see a future with hybrid approaches, relying on a combination of private and public cloud resources. As
the number of cloud services within enterprises grows, there will be more reliance on both for cost mitigation, as well as backup
and continuity.
Security and privacy concerns top the list of challenges in
building, managing, and using clouds. Half of the managers and
professionals in the survey indicate that security and privacy
concerns are the greatest inhibitors to their cloud initiatives. Data
ownership and retention follow closely behind as the second-
ranked concern. Often, trusting outside cloud providers with
sensitive or mission-critical corporate data is seen as risky, not
only in terms of potential breaches, but also in cases where the
relationship between a cloud provider and consumer needs to be
modified or terminated. The fate of data held by a cloud provider
may not be clear-cut. (See Figure 8.)
As one respondent describes it, “there is definitely value in
cloud-based solutions. However, we’re being cautious on what we
move to the cloud and when we move it to the cloud. We want
to ensure that we’re gaining the performance and cost savings
without affecting the end user’s experience.”
For most enterprises, private clouds—implemented within
the more protective confines of data centers—offer the best path
to providing data on-demand to decision makers. It dominates
as the most prevalent type of cloud-borne implementation, cited
by close to half of respondents. About one-third subscribe purely
to public cloud services, while another one-third are leveraging
hybrid approaches. (See Figure 9.) “We use a private cloud today,
and the value is the ease of provisioning and the ability to meter
and provide showback metrics to the business units,” said one
respondent.
Private cloud may dominate the current data management
scene, but from a planning/spending perspective, the future
belongs to hybrid approaches. Many organizations continue to
maintain an abundance of legacy or on-premises assets, and this
is likely to be the case for some time to come. As a result, the
largest percentage of organizations in the survey, 44%, see the
establishment of hybrid cloud as their most important priority as
they enter the cloud space. (See Figure 10.)
In line with the growth in hybrid and private cloud
approaches, two in three organizations will be relying on their
own internal resources to manage any cloud-borne services.
Private and hybrid clouds are an important element in cloud
strategies, and, therefore, for the most part, IT is taking the lead
with cloud service provisioning. Sixty-seven percent cite IT as
leading the way. Another 27% rely on cloud providers themselves
to provide the degree of support required. (See Figure 11.)
Close to one-third now run at least some of their mission-
critical applications or dev/test environments on some variation
of the cloud—be it private, hybrid, or public, the survey confirms.
(See Figure 12.)
How many cloud services will be coming out of DBaaS, PaaS,
and SaaS in the near future? For the most part, organizations
in the survey currently have between one and 10 cloud services,
as cited by 48% of the group. This is expected to shift upward.
In 2 years, one-third anticipate supporting or subscribing to a
significant number of services—more than 25—up from 7% at
the present time. (See Figure 13.)
Cost control is still driving cloud adoption, but agility is also
an important driver, the survey finds. At this time, cost control
tops the list of business motivators to go to cloud, with close
to two-thirds of respondents mentioning the need to reduce
operating costs as a justification to go to cloud computing.
Similarly, a majority, 53%, cite reduced hardware costs, and
39% prefer cloud since it reduces hardware costs. Of course, cost
savings is only one aspect of cloud, and may serve as the initial
justification. But additional benefits—particularly in terms of
business agility—can gain traction as the initial cost-savings
aspects wear off. For example, 44% see cloud as a viable approach
to assuring backup and continuity. Another 38% are turning to
cloud as it offers the ability to launch or take advantage of new
applications. (See Figure 14.)
“Cloud forced us to create much better cost models for our
internal hosting environments,” said a respondent. “These
models demonstrated that it is often more cost-effective hosting
ourselves as long as we pay close attention to costs and licensing
issues. As cloud costs go down through economies of scale, we
expect to leverage such environments further.”
11. 11
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 8: What are the challenges of building, managing and using clouds?
Security and privacy concerns 50%
Data ownership and retention concerns 48%
Software licensing issues 40%
Lack of expertise or knowledge 36%
Regulatory compliance 34%
Gaining cross-organization support or 32%
participation
Creating the business case and funding 32%
model
Loss of visibility/control of apps, databases, 32%
storage or systems
Building awareness of available services 26%
Implementing process, policy and role 25%
changes (transformation)
Vendor lock-in or difficulty in switching 23%
service providers
Integration of cloud to other clouds or 21%
on-premises solutions
Adequately provisioning server and storage 20%
capacity
Inability to ensure service levels for 20%
applications, databases, storage, systems
Available cloud services do not fit existing 19%
functions/processes
Don’t know/unsure 15%
Other 1%
0 20 40 60 80 100
0 20 40 60 80 100
12. 12
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 9: What type of cloud is your enterprise currently employing?
Private 48%
Hybrid 31%
Public 31%
Don’t know/unsure 26%
0 20 40 60 80 100
0 20 40 60 80 100
Figure 10: From a planning/spending perspective, what does your organization
view as most important in its cloud initiative?
Establishing a hybrid cloud that incorporates 44%
both private and public cloud resources
Leveraging public cloud capabilities 16%
Building a pure-play private cloud capability 13%
Don’t know/unsure 27%
0 20 40 60 80 100
0 20 40 60 80 100
13. 13
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 11: Who manages and provides (or will manage and provide)
your cloud services?
IT department 67%
Cloud provider 27%
Service provider, outsourcer, managed 21%
hosting services provider
Individual business units 7%
Independent subsidiary/division 4%
Other 1%
Don’t know/unsure 11%
0 20 40 60 80 1000 20 40 60 80 100
14. 14
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 12: To what extent has your organization adopted cloud computing
(private, hybrid, or public) to develop and/or manage enterprise
applications and data?
Most of our mission-critical applications 7%
and/or dev/test are run on cloud
Some core mission-critical applications 24%
and/or dev/test are run on cloud
We are in the planning stages for 17%
determining the best approach to cloud
computing in our enterprise
We have cloud applications at the 23%
periphery of our enterprise, for point solutions
or dev/test
No significant cloud deployments at this 22%
time
Don’t know/unsure 7%
0 20 40 60 80 100
0 20 40 60 80 100
15. 15
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 13: How many cloud services are used by your organization, and how
many do you expect to be in use 2 years from now?
Currently In 2 years
None at this time 24% 4%
1% to 10% 48% 24%
11% to 25% 9% 22%
26% to 50% 2% 12%
More than 50% 6% 20%
Don’t know/unsure 13% 27%
16. 16
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 14: What are the top business needs your organization is meeting
by using cloud services?
Reduce operating costs 64%
Reduce hardware costs 53%
Back up/continuity 44%
Reduce licensing costs 39%
Enable new applications 38%
Deliver enterprise-class application(s) 35%
Consolidate existing applications onto a 30%
standardized, shared services platform
Provide software dev/test environment 26%
Extend existing application 22%
Enhance or supplement security 16%
Deliver departmental application(s) 14%
Supplement skills base/compensate for 12%
skills shortages
Launch or support temporary application(s) 11%
(1 year life expectancy)
Don’t know/unsure 12%
Other 11%
0 20 40 60 80 100
0 20 40 60 80 100
17. 17
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
ENTERPRISE CLOUD CAPABILITIES
Cloud is increasingly seen as a highly agile and robust platform for enterprise application development. More development
work is going to the cloud. Database backup and disaster recovery, along with enterprise applications, are the areas seeing the
greatest returns from cloud implementations.
For data managers and professionals, cloud computing offers
access to resources offering greater capacity, resiliency, and
flexibility. For those also engaged in development and integration
activities—or among developers themselves—cloud offers new
pathways to run and test data applications, as well as provision
and update tools.
As the survey shows, a key use case for cloud—both on-
premises and third-party provided—is serving as dev/test
environments that can be rapidly spun up by development teams.
For enterprises in this survey, cloud is clearly the platform that
will support a great deal of future development. Close to one-
third of respondents, 31%, indicate that significant portions of
their development work (defines as greater than 25% of such
work) will be conducted on cloud platforms, versus work on local
workstations. This is up from 8% using cloud for a significant
portion of their work today. Clearly, enterprises are recognizing
how supporting developers on the cloud will ensure greater
consistency across their development environments, as well as
access to the latest and greatest tools. (See Figure 15.)
Much of the development work taking place on cloud
platforms isn’t just limited to one-off or departmental apps.
When looking at the types of projects developers are doing in
the cloud, enterprise app development dominates. Close to half,
44%, report working with enterprise apps, which include Java and
middleware. Another 41% are working on cloud-based database
projects, which portends the rise of DBaaS documented in the
previous section. (See Figure 16.)
There are a number of qualities data managers and professionals
seek in cloud, starting with data security, cited by eight in ten. At
least three in four also seek the ability to maintain continuity and
provide disaster recovery capabilities. Fast resource provisioning
also weighs in at the top of managers’ and professionals’ wish lists,
cited by 71%. (See Figure 17.)
Figure 15: How much of your development is currently being done in the cloud,
versus on premises or with localized workstation tools today, and
how much will be in the cloud 2 years from now?
Currently In 2 years
None at this time 37% 8%
1% to 10% 33% 13%
11% to 25% 11% 24%
26% to 50% 2% 13%
More than 50% 6% 18%
Don’t know/unsure 11% 22%
(Includes all cloud types—public, private, hybrid.)
18. 18
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 16: What types of projects are developers in your organization
doing in the cloud?
Enterprise apps (includes development 44%
with Java, middleware)
Database 41%
Mobile apps 30%
Desktop/productivity apps 20%
Apps commissioned by customers or 18%
to be made commercially available
Other 5%
None 21%
Don’t know/unsure 13%
0 20 40 60 80 1000 20 40 60 80 100
19. 19
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 17: Please rate the importance of the qualities you seek in cloud
Data security 79%
Business continuity/disaster recovery 74%
Fast resource provisioning 71%
Ability to monitor and measure usage 64%
and resource availability
Elastic scalability 62%
Better service-level management 61%
Automated administration 59%
Shared pools of resources 54%
Product testing/simulations 50%
Application development testbeds 50%
Support for mobile computing 47%
Ability to move workloads on demand 46%
between cloud and on-premises systems
Building self-service interfaces 46%
Self-service point solutions 46%
Application migration/integration 43%
Metering and chargeback 40%
Self-service full stacks 38%
0 20 40 60 80 100
0 20 40 60 80 100
(Percentage assigning a “4” or “5” rating, from 1=not important to 5=extremely important)
20. 20
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
DATABASE DESIGNED FOR THE CLOUD
Significant segments of Oracle Database customers are adopting a range of technologies to move their DBaaS efforts forward
in their organizations. Oracle Multitenant, Oracle Enterprise Manager, and Oracle Exadata are becoming mainstays for DBAs and
professionals seeking to deliver information, on-demand, to whomever and wherever it is needed.
Oracle Multitenant: Oracle Multitenant—a major new
architecture introduced with Oracle Database 12c—offers a
cloud-scale database platform that supports the large variety
of applications and data environments that is part of today’s
enterprises. Close to half of respondents are looking at Oracle
Database 12c and Oracle Multitenant to support their efforts to
deliver DBaaS on-premises or in the cloud? (See Figure 18.)
Consolidation is the key advantage sought among data
managers and professionals working with Oracle Multitenant.
The ability to manage multiple databases as a single, consolidated
environment was considered the leading benefit. Support for
multiple applications is also seen as a key benefit. (See Figure 19.)
What are organizations’ main use cases for Oracle
Multitenant? The survey finds an even distribution of use cases
between DBaaS, consolidation and dev/test—pointing to the
versatility of this technology as organizations move into the cloud
data space. There is even a segment of managers and professionals
indicating that Oracle Multitenant plays a part in rolling out
SaaS-based applications. (See Figure 20.)
The survey shows a great deal of transformation taking place
within database environments, as cloud computing opens up new
possibilities. When asked about the state of their organizations’
database architectures prior to their Oracle Multitenant
implementation, respondents indicate there has been a lot of
migration from VMs, as well as from standalone. This aligns with
the findings, mentioned above, which indicate heightened interest
in consolidation. To a large degree, cloud computing represents
the next great leap from virtualization. (See Figure 21.)
Oracle Exadata Cloud Service: Another key piece of the
DBaaS story, Oracle Exadata Cloud, is also being considered as
part of respondents’ approaches to delivering DBaaS to their
enterprises. Currently, one in four is evaluating adoption of
the technology, in which all of the Exadata Database Platform
capabilities are available as a cloud service. Adoption of Oracle
Exadata Cloud Service also weighs in as part of enterprises’
consolidation efforts running up to DBaaS. When asked to rate
the relative importance of Exadata Cloud’s potential benefits
on a scale of 1 to 5, data managers and professionals place
consolidation density at the top of the list, with a rating of almost
4. Security, scalability, and availability also are seen as critical,
each rating a 3 out of 5. (See Figure 22.)
Oracle Enterprise Manager: Rolling out DBaaS-based services
across enterprises requires a great deal of visibility to ensure
the availability of IT resources and services are running at peak
performance, whether it’s in a private or public cloud or even
in a hybrid model. For these reasons, more the two in five data
managers and professionals in the survey are looking at Oracle
Enterprise Manager as an important approach to delivering
and managing DBaaS in the cloud. (See Figure 23.) The most
important consideration in adopting Oracle Enterprise Manager is
the ability to support service catalogs, a critical element in service-
oriented architecture and cloud computing. (See Figure 24.)
Oracle’s Cloud Strategy: What resonates most with IOUG
members is that the Oracle Database used on-premises is also
used in the Oracle Cloud, incorporating the same availability and
security features. The service provides hybrid cloud support, and
rapid provisioning, along with migration support to and from the
cloud all from a single vendor. (See Figure 25.)
21. 21
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 18: Are Oracle Database 12c and Oracle Multitenant being considered
in your approach to delivering DBaaS on-premises or in the cloud?
Yes 47%
No 21%
Don’t know/unsure 32%
22. 22
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 19: Which benefits of Oracle Multitenant had the biggest impact
on your decision to deploy this solution?
Ability to manage many databases as one 32%
Greater database and application 30%
consolidation density
Greater consolidation density 27%
More applications per server 26%
Standardized procedures and service levels 24%
Enable self-service provisioning 21%
Greater agility 24%
Portability through “pluggability”— 24%
easily plug into the cloud
OpEx cost savings 23%
Ease of use 20%
CapEx cost savings 19%
Applications run unchanged 18%
Other 4%
Don’t know/unsure 31%
0 20 40 60 80 100
0 20 40 60 80 100
23. 23
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 20: What is your use case for Oracle Multitenant?
Database as a Service 40%
Database consolidation 40%
Development and testing 36%
Software as a Service 18%
Other 3%
Don’t know/unsure 32%
0 20 40 60 80 100
0 20 40 60 80 100
Figure 21: What was your database architecture prior to your Oracle
Multitenant implementation?
Virtual machines 51%
Standalone servers 44%
Bare-metal servers 26%
Schema consolidation 21%
Stacked databases 19%
Other 4%
Don’t know/unsure 21%
0 20 40 60 80 100
0 20 40 60 80 100
24. 24
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 22: Which benefits are the most important to you in considering
Oracle Exadata?
Greatest consolidation density 3.63
Security 3.13
Scalability 2.96
Availability 2.91
Performance 2.35
0 1 2 3 4 5
0 1 2 3 4 5
(Based on a scale of 1 to 5)
Figure 23: Is Oracle Enterprise Manager being considered in your approach
to delivering DBaaS in the cloud?
Yes 44%
No 25%
Don’t know/unsure 30%
(Total does not equal 100% due to rounding.)
25. 25
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 24: Which benefits are the most important to you in considering
Oracle Enterprise Manager?
Service catalogs 2.5
Simplified provisioning 1.88
Centralized control over on-premises and 1.62
cloud environments 0 1 2 3 4 5
0 1 2 3 4 5
(Based on a scale of 1 to 5)
Figure 25: Which benefits of Oracle Public Cloud made the biggest impact
on your decision to deploy this solution?
Full hybrid cloud support 5.45
Specific Oracle technology 5.45
Rapid or simplified provisioning 5.42
Single vendor solution 5.29
Vendor knowledge and experience 5.28
Ease of migration to and from the cloud 5.23
Performance 4.54
Availability 4.26
Security 4.07
0 2 4 6 8 100 2 4 6 8 10
(Based on a scale of 1 to 10)
26. 26
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
DEMOGRAPHICS
Figure 26: What is your primary job title?
Database administrator (DBA) 36%
Director/manager of IS/IT or 11%
computer-related function
IT consultant 7%
Analyst/systems analyst 7%
Chief information officer/CTO/ 5%
vice president of IT
Programmer/developer4%
Data architect 4%
Executive/management level for the 4%
business
IT operations manager 3%
Systems administrator 3%
Manager of a business unit (other than 2%
computer-related)
Project manager 2%
Other 10%
0 20 40 60 80 100
0 20 40 60 80 100
27. 27
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 27: How many employees are in your entire organization?
1 to 500 employees 30%
501 to 1,000 employees 7%
1,001 to 5,000 employees 20%
5,001 to 10,000 employees 12%
More than 10,000 30%
NA 1%
0 20 40 60 80 100
0 20 40 60 80 100
28. 28
DATABASE AS A SERVICE ENTERS THE ENTERPRISE MAINSTREAM: 2016 IOUG Survey on Database Cloud was produced by Unisphere Research and sponsored by
Oracle. Unisphere Research is the market research unit of Unisphere Media, a division of Information Today, Inc., publishers of Database Trends and Applications magazine and
the 5 Minute Briefing newsletters. To review abstracts of our past reports, visit www.unisphereresearch.com. Unisphere Media, 121 Chanlon Road, New Providence, NJ 07974;
908-795-3702.
Figure 28: What is your primary industry?
IT services/consulting/system integration 23%
Financial services 11%
Software/application development 11%
Education (all levels) 9%
Government (all levels) 8%
Utility/telecommunications/transportation 7%
Healthcare/medical5%
Business services 4%
Insurance4%
Manufacturing 3%
High-tech manufacturing 2%
Media/entertainment2%
Retail/distribution1%
Consumer services 1%
Other 8%
0 20 40 60 80 100
0 20 40 60 80 100