This document discusses the future impacts of cloud computing and big data on security strategies. It notes that the volume, velocity, and variety of information is growing exponentially and changing the security landscape. The talk will explore these changing technologies and paradigms, how they will impact security, and what needs to be done to manage associated risks. It provides an overview of key industry trends driving cloud computing and outlines some of the security challenges organizations will face from the growth of data and emerging technologies.
The Future Paradigm Shifts of the Cloud and Big Data: Security Impacts & New...InnoTech
This document discusses a presentation on the future impacts of cloud computing and big data on security. Some key points:
1. Cloud computing and big data are changing the technology landscape by increasing the volume, velocity, and variety of information. This is expanding the definition of security.
2. The presentation will explore these changes, emerging trends, impacts on security, and suggestions for managing risks.
3. Some impacts include security becoming more complex as data and infrastructure become more distributed, and new strategies are needed to address security in this changing environment.
Data science and its potential to change business as we know it. The Roadmap ...InnoTech
The document summarizes a presentation on data science and its potential to change business. It discusses how organizations can increase their data science maturity and capabilities to gain more value from data. As data volumes continue growing exponentially, data science can help organizations move from simple reporting to predictive analytics in order to make real-time decisions. The presentation examines how data science is an emerging field that incorporates techniques from many areas and how organizations can assess their analytics maturity.
A next generation introduction to data science and its potential to change bu...InnoTech
The document discusses the rise of data science and its potential to change business. It notes that the amount of data being generated is growing exponentially and will soon exceed 40 zettabytes. However, most companies feel overwhelmed by the data they have. Data science uses techniques from many fields to extract meaningful insights from vast amounts of data. It has become a critical business asset for companies in almost every industry. The emergence of data science is enabling real-time, predictive analytics beyond what was previously possible.
Share point saturday access services 2015 final 2InnoTech
This document discusses Microsoft Access Services 2013 and the benefits it provides for migrating existing Access databases. It allows centralizing data in a SQL database while giving business users independence in designing user interfaces and reports. This improves data security, governance and reliability while making solutions easier to develop and maintain. It also provides tools for deploying Access apps in SharePoint, managing permissions and distribution.
Down to Business: Taking Action Quickly with Linked Data ServicesInside Analysis
The Briefing Room with Krish Krishnan and Denodo
Live Webcast 5-28-2013
Rapid time-to-insight makes analysts happy, but rapid time-to-action is what executives want most. Being able to respond quickly to market changes, new opportunities or customer requests is increasingly a must-have in today's competitive landscape. The key ingredient for this kind of organizational flexibility? Data! Companies that can quickly pull together a variety of data sources have a significant advantage over those that cannot.
Register for this episode of The Briefing Room to hear Analyst Krish Krishnan of Sixth Sense explain how linked data services can provide the necessary foundation for an agile enterprise. He'll be briefed by Suresh Chandrasekaran of Denodo Technologies who will showcase his company's mature data virtualization platform. He'll demonstrate how a point-and-click interface can be used to quickly assemble a wide range of data sets, thus enabling companies to build business solutions that address very specific enterprise needs.
Visit: http://www.insideanalysis.com
Innovation Overload – Technology, Jobs and the FutureInnoTech
David Smith will give a talk titled "Innovation Overload – Technology, Jobs and the Future" from 9:00 AM to 10:00 AM in Meeting Room 3. The talk will explore how fast changing technology is impacting companies and careers, forcing changes like downsizing and outsourcing. It will also discuss how the pace of innovation and access to new technologies makes it difficult for people and companies to keep up and take advantage of opportunities. The future of work and how demographic changes like an aging population and skills shortages will further impact companies and individuals.
The document discusses the industry buzz around big data and the cloud. It provides an agenda for a webinar on these topics, including challenges of big data, architectural solutions using the cloud, and case studies. The document notes that data is growing exponentially and coming from more sources faster, creating challenges around complexity, validity, and linking diverse data sources. It argues the cloud can help address these challenges by providing vast, correlated, high confidence data to drive real-time predictions and recommendations.
The document discusses modernizing content management with Microsoft Content Services. It describes how traditional enterprise content management (ECM) systems focused on archiving and storage, whereas content services support broader business functions like collaboration. Content services provide a more dynamic lifecycle for content creation, coordination, protection and reuse. Microsoft and its partner HELUX provide tools like Microsoft Search, SharePoint, OneDrive and Azure to help organizations manage increasing volumes of content and meet compliance requirements.
The Future Paradigm Shifts of the Cloud and Big Data: Security Impacts & New...InnoTech
This document discusses a presentation on the future impacts of cloud computing and big data on security. Some key points:
1. Cloud computing and big data are changing the technology landscape by increasing the volume, velocity, and variety of information. This is expanding the definition of security.
2. The presentation will explore these changes, emerging trends, impacts on security, and suggestions for managing risks.
3. Some impacts include security becoming more complex as data and infrastructure become more distributed, and new strategies are needed to address security in this changing environment.
Data science and its potential to change business as we know it. The Roadmap ...InnoTech
The document summarizes a presentation on data science and its potential to change business. It discusses how organizations can increase their data science maturity and capabilities to gain more value from data. As data volumes continue growing exponentially, data science can help organizations move from simple reporting to predictive analytics in order to make real-time decisions. The presentation examines how data science is an emerging field that incorporates techniques from many areas and how organizations can assess their analytics maturity.
A next generation introduction to data science and its potential to change bu...InnoTech
The document discusses the rise of data science and its potential to change business. It notes that the amount of data being generated is growing exponentially and will soon exceed 40 zettabytes. However, most companies feel overwhelmed by the data they have. Data science uses techniques from many fields to extract meaningful insights from vast amounts of data. It has become a critical business asset for companies in almost every industry. The emergence of data science is enabling real-time, predictive analytics beyond what was previously possible.
Share point saturday access services 2015 final 2InnoTech
This document discusses Microsoft Access Services 2013 and the benefits it provides for migrating existing Access databases. It allows centralizing data in a SQL database while giving business users independence in designing user interfaces and reports. This improves data security, governance and reliability while making solutions easier to develop and maintain. It also provides tools for deploying Access apps in SharePoint, managing permissions and distribution.
Down to Business: Taking Action Quickly with Linked Data ServicesInside Analysis
The Briefing Room with Krish Krishnan and Denodo
Live Webcast 5-28-2013
Rapid time-to-insight makes analysts happy, but rapid time-to-action is what executives want most. Being able to respond quickly to market changes, new opportunities or customer requests is increasingly a must-have in today's competitive landscape. The key ingredient for this kind of organizational flexibility? Data! Companies that can quickly pull together a variety of data sources have a significant advantage over those that cannot.
Register for this episode of The Briefing Room to hear Analyst Krish Krishnan of Sixth Sense explain how linked data services can provide the necessary foundation for an agile enterprise. He'll be briefed by Suresh Chandrasekaran of Denodo Technologies who will showcase his company's mature data virtualization platform. He'll demonstrate how a point-and-click interface can be used to quickly assemble a wide range of data sets, thus enabling companies to build business solutions that address very specific enterprise needs.
Visit: http://www.insideanalysis.com
Innovation Overload – Technology, Jobs and the FutureInnoTech
David Smith will give a talk titled "Innovation Overload – Technology, Jobs and the Future" from 9:00 AM to 10:00 AM in Meeting Room 3. The talk will explore how fast changing technology is impacting companies and careers, forcing changes like downsizing and outsourcing. It will also discuss how the pace of innovation and access to new technologies makes it difficult for people and companies to keep up and take advantage of opportunities. The future of work and how demographic changes like an aging population and skills shortages will further impact companies and individuals.
The document discusses the industry buzz around big data and the cloud. It provides an agenda for a webinar on these topics, including challenges of big data, architectural solutions using the cloud, and case studies. The document notes that data is growing exponentially and coming from more sources faster, creating challenges around complexity, validity, and linking diverse data sources. It argues the cloud can help address these challenges by providing vast, correlated, high confidence data to drive real-time predictions and recommendations.
The document discusses modernizing content management with Microsoft Content Services. It describes how traditional enterprise content management (ECM) systems focused on archiving and storage, whereas content services support broader business functions like collaboration. Content services provide a more dynamic lifecycle for content creation, coordination, protection and reuse. Microsoft and its partner HELUX provide tools like Microsoft Search, SharePoint, OneDrive and Azure to help organizations manage increasing volumes of content and meet compliance requirements.
The document discusses artificial intelligence (AI) and its potential applications for records management and compliance. It provides definitions of key AI concepts like machine learning, deep learning, and neural networks. It also discusses how AI can be used to automatically classify large amounts of unstructured information across different content repositories through techniques like supervised and unsupervised learning. The document suggests AI could help tackle issues like "information chaos" by enabling more effective compliance, records management, analytics and archiving of unstructured content.
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...Stijn (Stan) Christiaens
The document discusses data governance and outlines several key points:
1) Data governance is about bringing business and IT together to govern data as a key enterprise asset and ensure there is a common understanding of what data means.
2) Existing tools and approaches are insufficient for handling today's data complexity, and semantic technology can help by clarifying the meaning of data elements.
3) Effective data governance requires a combination of technology, organizational structure, methodology, and culture to define roles and processes for validating and reconciling data across stakeholders.
Usama Fayyad talk at IIT Madras on March 27, 2015: BigData, AllData, Old Dat...Usama Fayyad
Title: BigData, AllData, Old Data: Predictive Analytics in a Changing Data Landscape
Abstract:
The landscape of the platform, access methodologies, shapes, and storage representations has changed dramatically. Much of the assumptions of a structured data world dominated by relational databases have been rendered obsolete. Today’s data analyst faces big challenges and a bewildering environment of technologies and challenges involving semi-structured and unstructured data with access methodologies that have almost no relation to the past. This talk will cover issues and challenges in how to make the benefits of advanced analytics fit within the application environment. The requirement for Real-time data streaming and in situ data mining is stronger than ever. We demonstrate how many of the critical problems remain open with much opportunity for innovative solutions to play a huge enabling role. This opportunity extends equally well to Knowledge Management and several related fields.
As digital channels continue to grow, they drive greater diversity in our data landscape. At Yorkshire Building Society, our purpose is to provide real help with real life and this relies on data from a myriad of sources. This diversity creates a need for points of intersection, where data can unite to feed customer and business insights. How do we create these hubs of intersection and what can modern technology offer?
Speaker:
Mark Walters
Lead Enterprise Data Architect for Data & Information
Yorkshire Building Society
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.
In that session we will discuss about Data Governance, mainly around that fantastic platform Power BI (but also around on-prem concerns).
How to avoid dataset-hell ? What are the best practices for sharing queries ? Who is the famous Data Steward and what is its role in a department or in the whole company ? How do you choose the right person ?
Keywords : Power Query, Data Management Gateway, Power BI Admin Center, Datastewardship, SharePoint 2013, eDiscovery
Level 200
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.
Cognitive computing big_data_statistical_analyticsPietro Leo
Cognitive computing, big data, and statistical analytics represent new frontiers for innovation that will transform organizations. These emerging technologies rely on analyzing vast amounts of structured and unstructured data using powerful computers and sophisticated algorithms to generate novel insights. Realizing their full potential will require integrating data and analytics from hundreds or thousands of diverse sources to reduce uncertainty and construct high-value context. This represents a strategic challenge for organizations to create an integrated view of information from all available data channels.
Data Integration, Interoperability and VirtualizationJavier Ramírez
This presentation is focused on the Data Integration and Interoperability section of the DMBOK2. It focuses on Data virtualization as a key tool of Data Integration.
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.
Information is at the heart of all architecture disciplines & why Conceptual ...Christopher Bradley
Information is at the heart of all of the architecture disciplines such as Business Architecture, Applications Architecture and Conceptual Data Modelling helps this.
Also, data modelling which helps inform this has been wrongly taught as being just for Database design in many Universities.
chris.bradley@dmadvisors.co.uk
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.
Usama Fayyad gave a talk at the iTAG Meeting in London on June 4, 2015 about big data and the role of the Chief Data Officer. He discussed how data is growing exponentially in volume, velocity, and variety. Fayyad also outlined some fundamental data principles, or "axioms", including the need for data integration, standardization, centralized governance, and recency. Additionally, he noted that while loading data into a data lake seems promising, analysts actually spend most of their time preparing and cleaning data rather than analyzing it.
Data-Ed Online: Making the Case for Data GovernanceDATAVERSITY
This document provides an overview of data governance and outlines the keynote presentation by Dr. Peter Aiken on making the case for data governance. The presentation covers data management concepts, defines data governance, explains why it is important, outlines 5 requirements for effective data governance, and discusses data governance frameworks and best practices. The goal is to provide a clear understanding of data governance and how it fits within overall data management.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
The document discusses innovation in the healthcare industry. It notes that the industry is ripe for disruption due to government mandates for digitizing health records and more people gaining health insurance under Obamacare. Speakers argue that healthcare needs transformation as the current system is unsatisfactory and costs are rising. The session will look at ways to spur innovation locally through partnerships between startups, universities, and other groups.
The document discusses the future of advanced analytics and how increasing data volumes, varieties, and velocities are impacting business decisions. It notes that advanced analytics can help analyze trends, create predictive models, and optimize business processes. The presentation will look at current and future analytics trends, with emphasis on embedded analytics to support real-time decision making. Attendees will learn about the directions of advanced analytics.
The document discusses artificial intelligence (AI) and its potential applications for records management and compliance. It provides definitions of key AI concepts like machine learning, deep learning, and neural networks. It also discusses how AI can be used to automatically classify large amounts of unstructured information across different content repositories through techniques like supervised and unsupervised learning. The document suggests AI could help tackle issues like "information chaos" by enabling more effective compliance, records management, analytics and archiving of unstructured content.
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...Stijn (Stan) Christiaens
The document discusses data governance and outlines several key points:
1) Data governance is about bringing business and IT together to govern data as a key enterprise asset and ensure there is a common understanding of what data means.
2) Existing tools and approaches are insufficient for handling today's data complexity, and semantic technology can help by clarifying the meaning of data elements.
3) Effective data governance requires a combination of technology, organizational structure, methodology, and culture to define roles and processes for validating and reconciling data across stakeholders.
Usama Fayyad talk at IIT Madras on March 27, 2015: BigData, AllData, Old Dat...Usama Fayyad
Title: BigData, AllData, Old Data: Predictive Analytics in a Changing Data Landscape
Abstract:
The landscape of the platform, access methodologies, shapes, and storage representations has changed dramatically. Much of the assumptions of a structured data world dominated by relational databases have been rendered obsolete. Today’s data analyst faces big challenges and a bewildering environment of technologies and challenges involving semi-structured and unstructured data with access methodologies that have almost no relation to the past. This talk will cover issues and challenges in how to make the benefits of advanced analytics fit within the application environment. The requirement for Real-time data streaming and in situ data mining is stronger than ever. We demonstrate how many of the critical problems remain open with much opportunity for innovative solutions to play a huge enabling role. This opportunity extends equally well to Knowledge Management and several related fields.
As digital channels continue to grow, they drive greater diversity in our data landscape. At Yorkshire Building Society, our purpose is to provide real help with real life and this relies on data from a myriad of sources. This diversity creates a need for points of intersection, where data can unite to feed customer and business insights. How do we create these hubs of intersection and what can modern technology offer?
Speaker:
Mark Walters
Lead Enterprise Data Architect for Data & Information
Yorkshire Building Society
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.
In that session we will discuss about Data Governance, mainly around that fantastic platform Power BI (but also around on-prem concerns).
How to avoid dataset-hell ? What are the best practices for sharing queries ? Who is the famous Data Steward and what is its role in a department or in the whole company ? How do you choose the right person ?
Keywords : Power Query, Data Management Gateway, Power BI Admin Center, Datastewardship, SharePoint 2013, eDiscovery
Level 200
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.
Cognitive computing big_data_statistical_analyticsPietro Leo
Cognitive computing, big data, and statistical analytics represent new frontiers for innovation that will transform organizations. These emerging technologies rely on analyzing vast amounts of structured and unstructured data using powerful computers and sophisticated algorithms to generate novel insights. Realizing their full potential will require integrating data and analytics from hundreds or thousands of diverse sources to reduce uncertainty and construct high-value context. This represents a strategic challenge for organizations to create an integrated view of information from all available data channels.
Data Integration, Interoperability and VirtualizationJavier Ramírez
This presentation is focused on the Data Integration and Interoperability section of the DMBOK2. It focuses on Data virtualization as a key tool of Data Integration.
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.
Information is at the heart of all architecture disciplines & why Conceptual ...Christopher Bradley
Information is at the heart of all of the architecture disciplines such as Business Architecture, Applications Architecture and Conceptual Data Modelling helps this.
Also, data modelling which helps inform this has been wrongly taught as being just for Database design in many Universities.
chris.bradley@dmadvisors.co.uk
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.
Usama Fayyad gave a talk at the iTAG Meeting in London on June 4, 2015 about big data and the role of the Chief Data Officer. He discussed how data is growing exponentially in volume, velocity, and variety. Fayyad also outlined some fundamental data principles, or "axioms", including the need for data integration, standardization, centralized governance, and recency. Additionally, he noted that while loading data into a data lake seems promising, analysts actually spend most of their time preparing and cleaning data rather than analyzing it.
Data-Ed Online: Making the Case for Data GovernanceDATAVERSITY
This document provides an overview of data governance and outlines the keynote presentation by Dr. Peter Aiken on making the case for data governance. The presentation covers data management concepts, defines data governance, explains why it is important, outlines 5 requirements for effective data governance, and discusses data governance frameworks and best practices. The goal is to provide a clear understanding of data governance and how it fits within overall data management.
Business today is starting to understand the value of data, and some organisations are outperforming their competition by putting data at the heart of their thinking. Leveraging data to change business models, understand their customers and employees better and deliver new revenue streams is the driving force in this new data centric era.
The document discusses innovation in the healthcare industry. It notes that the industry is ripe for disruption due to government mandates for digitizing health records and more people gaining health insurance under Obamacare. Speakers argue that healthcare needs transformation as the current system is unsatisfactory and costs are rising. The session will look at ways to spur innovation locally through partnerships between startups, universities, and other groups.
The document discusses the future of advanced analytics and how increasing data volumes, varieties, and velocities are impacting business decisions. It notes that advanced analytics can help analyze trends, create predictive models, and optimize business processes. The presentation will look at current and future analytics trends, with emphasis on embedded analytics to support real-time decision making. Attendees will learn about the directions of advanced analytics.
The Collaboration of Disruptive TechnologyInnoTech
The document discusses disruptive technologies and their impact on businesses and work. It notes that disruptive technologies will further change the landscape and discusses how to balance the fast pace of innovation with workforce and life balance. The session aims to provide a future perspective on where technology is headed and how it will impact businesses, work, and the connection between technology, business, and family.
The document discusses several topics related to security:
1) It notes that security is difficult because no system can be 100% secure, it's hard to prove good security, and good and bad security can appear the same.
2) It outlines challenges like balancing usability and security, and securing many different assets like people, equipment, networks, and data.
3) It discusses trends that will impact security like the growth of wireless broadband and mobile devices, as well as increasing technical complexity.
Opening Keynote: Leveraging the Cloud to Grow and Optimize Your BusinessInnoTech
The document discusses cloud computing and Microsoft's approach. It defines cloud computing as delivering computing services over a network rather than local hardware. It describes how cloud services can improve utilization and elasticity compared to traditional IT. It also outlines Microsoft's hybrid approach to supporting both public and private clouds with common services.
Slides for talk by Prof Christopher Millard on "Cloud computing: identifying and managing legal risks" at Google's Oxford Internet Institute Learned Lunches, Brussel, February 2011
EMEA10: Trepidation in Moving to the CloudCompTIA UK
Today’s buzz centres on cloud computing. What is it exactly? Will it dent your revenues or does it have potential to add capabilities to your business? How do you deliver value when you don’t “install” anything? Learn how to use this new approach to delivering IT services in your business, what to consider and where it makes sense – and where it doesn’t! Dave Sobel, CEO of Evolve Technologies, talks to you about how to develop cloud offerings and how you position your business for growth around online services. Strategies come from real life experience, industry data, and collaboration with other solution providers to give you the best way to take on the big, bad cloud.
This document discusses key Internet-related innovations driving changes in computing, software development, data usage, and networking. These innovations include continuous service delivery and microservices speeding up software creation; federating and commercializing data to increase value of analytics-based services; blockchains creating a secure distributed cloud; containerization allowing flexible sharing of resources; and fog computing distributing computing to network edges. Adopting companies benefit from faster software deployment, improved customer knowledge, and reduced costs. Emerging jobs focus on engineering, research, and operations to support these technical changes.
The document discusses several key internet-related innovations that are driving changes in computing, software development, data usage, and networking. These include continuous service delivery and microservices, which allow faster software creation; federating and commercializing data through linking different data sources; blockchains for securely managing distributed systems like IoT; containerization through tools like Docker; and fog computing which distributes computing to network edges. These innovations are being adopted by many large companies and are creating more jobs in engineering, research, and operations while reducing roles in administration and support. Overall, the innovations emphasize modularity, security, and using data and edge devices to create new networked systems and services.
The document discusses cloud computing, including what it is, how it developed, different types of cloud models and services. It defines cloud computing as using the internet to access software, applications and data storage hosted on servers in external data centers. Key points are that cloud computing builds on older distributed computing concepts, provides scalable resources on demand, and offers potential cost savings through efficient usage-based pricing models. Risks include security, confidentiality and integrity of data hosted externally.
Cloud computing has been a buzzword in the IT industry for quite some time now. Though it has been around for quite a while, its popularity has increased manifold in the last few years. The reason for this is simple – the benefits of cloud computing are simply too hard to ignore.
In a nutshell, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
https://dailytimeupdate.com/cloud-computing-definition/
This document provides an overview of cloud computing as an emerging technology. It defines cloud computing, explains the key components and models, identifies major players, and discusses the evolution and potential of the technology. Some of the main points covered include:
- Cloud computing delivers IT capabilities and services over the internet on a flexible, on-demand basis.
- Major players include Amazon, Google, Microsoft, IBM and startups.
- While limitations around security, control and reliability exist, cloud computing offers benefits like reduced costs, faster deployment, and scalability.
- The technology has evolved from earlier distributed computing concepts and is poised to further transform how businesses access technology resources.
IBM Private Cloud Platform - Setting Foundation for Hybrid (JUKE, 2015)Denny Muktar
This is the slide for IBM Partner Event, November 2015.
Digital Transformation, Innovation, and Industry Transformer through Hybrid Cloud. IBM Scenarios of Hybrid Cloud and Roadmap .An example of how Enterprise can get into Hybrid Cloud through simple Dev/Test Private Cloud as the start.
Cloud computing refers to internet-based services and software hosted remotely. It allows ubiquitous access to data and applications from anywhere. There are several types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). While the cloud provides opportunities like reduced costs and access from anywhere, there are also concerns about security, dependence on large internet companies, and lack of control over data.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It delivers applications through web browsers and allows for dynamic scaling of resources. Some benefits include reduced costs, increased storage and flexibility compared to traditional computing methods. However, privacy, security, and compliance are concerns that need to be addressed for cloud computing.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It delivers applications through web browsers and allows for dynamic scaling of resources. Some benefits include reduced costs, increased storage and flexibility compared to traditional computing methods. However, security, privacy and compliance are important challenges to address with cloud computing.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document discusses privacy issues related to cloud computing. It begins with an introduction to cloud computing, defining it as the delivery of computing resources as a service over the internet. It then discusses five key characteristics of cloud computing including on-demand access and elastic resources. The document outlines four cloud delivery models and three cloud service models. It notes that while cloud computing reduces costs, issues of privacy, security, and control over data must be addressed. The remainder of the document analyzes challenges to privacy posed by cloud computing and standardization efforts to mitigate privacy risks.
The document discusses issues related to cloud computing in 2013. It notes that while cloud computing spending is expected to significantly increase between 2009 and 2013, there are still many open issues that need to be addressed related to security, governance, standards, and regulation. Specifically, questions remain around what cloud computing means, how legal and compliance risks will be managed, how services will be integrated and overseen, and how skills and adoption will evolve.
Read the Discussions below and give a good replyDiscussion 1..docxmakdul
Read the Discussions below and give a good reply
Discussion 1.
Information systems infrastructure consists the procedures of Software, Hardware, telecommunications, Networks managed by various specialists. Information systems are complementary networks like an organization that transcend information. Mainly it has 7 main components like Hardware platforms, Operating Systems, Software applications etc.
Information is data given meaning usually through some form of processing and combination with other data. Data is one of individual fact. An information system that collects, processes, manipulates, stores and communicates data according to a set of rules. It may include a methodology for update and feedback.
Usually, we can see information systems as two types. 1. Simple information systems 2. Complex Information systems.
A simple information system can be represented by Rolodex of names, addresses and telephone numbers
A complex information system could be a computer capable of storing the information on many Rolodexes, plus pictures, likes and dislikes, appointments and correspondence, organizing it for retrieval, a keyboard for input, a screen to view it, a printer for retrieval, a disk drive to store it and software to manage it.
Commonly an information system may only refer to a database management system which handles all the functions of collecting, managing, storing and retrieving the Rolodex information. Commonly today’s technological society, information systems are thought of within the context of the technology such as computers and software, but that need not be a case. As noted earlier, a Rolodex is also an information system
IS Evolution: Technology evaluation has impacted our lives positively over the last two decades so we should expect the same or similar outcomes from the future. If we observe the IT infrastructure evaluation, we can find several implementations from Enterprise computing to Cloud and mobile computing. Due to the implemental changes in Information systems, technology revolution happened over two decades.
Now an estimated 2.3 billion people worldwide using internet access and it became affordable. Technological advancements have had affects in all areas Health, Advertisement, Finance, Entertainment, just anything we can think about.
Ans: Give Reply
Discussion 2.
In 1960s a 5 MB of capacity was acquired a truck and now we can see terabytes of information in our grasp. This is an advancement of information frameworks. Today a huge number of clients are making information regarding content, voice, video and so forth. The association of this information is a major test for a portion of the organizations. Presently we are talking not as far as Gigabytes or Terabytes but rather Zettabyte (1000000000 TB).
So as to deal with this information three noteworthy developing patterns are approaching:
1. Democratization of Data: By making the information fair implies that information ought to be accessible for all. There ...
F ernando sousa ibm_from hype to realiityEuroCloud
The document discusses cloud computing and its adoption. It notes that cloud computing provides on-demand access to configurable IT resources and services over the Internet with pay-per-use pricing. While security and privacy concerns are barriers, cost savings and faster access to resources and services are driving factors for companies considering cloud adoption. The document outlines IBM's six-step approach for organizations to get started with cloud computing.
Security of Data in Cloud Environment Using DPaaSIJMER
The rapid development of cloud computing is giving way to more cloud services, due to
which security of services of cloud especially data confidentiality protection, becomes more critical.
Cloud computing is an emerging computing style which provides dynamic services, scalable and payper-use.
Although cloud computing provides numerous advantages, a key challenge is how to ensure
and build confidence that the cloud can handle user data securely. This paper highlights some major
security issues that exist in current cloud computing environments. The status of the development of
cloud computing security, the data privacy analysis, security audit, information check and another
challenges that the cloud computing security faces have been explored. The recent researches on data
protection regarding security and privacy issues in cloud computing have partially addressed some
issues. The best option is to build data-protection solutions at the platform layer. The growing appeal
of data protection as a service is that it enables to access just the resources you need at minimal
upfront expense while providing the benefits of enterprise-class data protection capabilities. The
paper proposes a solution to make existing developed applications for simple cloud Systems
compatible with DPaaS. The various security challenges have been highlighted and the various
necessary metrics required for designing DPaaS have been investigated.
SECURITY ISSUES ASSOCIATED WITH BIG DATA IN CLOUD COMPUTINGIJNSA Journal
In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and Hadoop environment. The main focus is on security issues in cloud computing that are associated with big data. Big data applications are a great benefit to organizations, business, companies and many large scale and small scale industries.We also discuss various possible solutions for the issues in cloud computing security and Hadoop. Cloud computing security is developing at a rapid pace which includes computer security, network security, information security, and data privacy. Cloud computing plays a very vital role in protecting data, applications and the related infrastructure with the help of policies, technologies, controls, and big data tools. Moreover, cloud computing, big data and its applications, advantages are likely to represent the most promising new frontiers in science.
Security issues associated with big data in cloud computingIJNSA Journal
In this paper, we discuss security issues for cloud
computing, Big data, Map Reduce and Hadoop
environment. The main focus is on security issues i
n cloud computing that are associated with big
data. Big data applications are a great benefit to
organizations, business, companies and many
large scale and small scale industries.We also disc
uss various possible solutions for the issues
in cloud computing security and Hadoop. Cloud compu
ting security is developing at a rapid pace
which includes computer security, network security,
information security, and data privacy.
Cloud computing plays a very vital role in protecti
ng data, applications and the related
infrastructure with the help of policies, technolog
ies, controls, and big data tools
.
Moreover,
cloud computing, big data and its applications, adv
antages are likely to represent the most
promising new frontiers in science.
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The Future Paradigm Shifts of the Cloud and Big Data: Security Impacts & New Strategies We Must Consider
1. 11/6/2013
The Future Paradigm Shifts of the Cloud and
Big Data: Security Impacts & New Strategies
We Must Consider
We are living in an age where the velocity of information growth
has reached new speeds, the volume of information that we keep
and use is exploding, and the increasing variety of information
sources is creating a new demand to expand our definition of
security. No longer is it just security in our enterprise, but across
an expanded infrastructure and an ever-expanding collection of
devices. This talk will explore this changing universe, the
emerging paradigms, the impacts on security and suggestions
on how to manage the risk.
Key Takeaways
•A future view of where Cloud Computing and Bid Data are
headed
•How these futures and new paradigm will impact security
•What we need to do to meet the new needs
The Future Paradigm
Shifts of the Cloud
and Big Data:
Security Impacts &
New Strategies We
Must Consider
David Smith
President
dsmith@socialcare.com
linkedin.com/in/davidsmithaustin
1
2. 11/6/2013
Cyberspace will become orders of
magnitude more complex and confused very
quickly
Overall this is a very positive development
and will enrich human society
It will be messy but need not be chaotic!
Cyber security research and practice are
loosing ground
VOLUME / VELOCITY / VARIETY Change
everything
The Internet of Things will Change it all
3
Origin of the term “Cloud Computing”
• “Comes from the early days of the Internet
where we drew the network as a cloud… we
didn’t care where the messages went… the
cloud hid it from us” – Kevin Marks, Google
• First cloud around networking (TCP/IP
abstraction)
• Second cloud around documents (WWW data
abstraction)
• The emerging cloud abstracts infrastructure
complexities of servers, applications, data, and
heterogeneous platforms
– (“muck” as Amazon’s CEO Jeff Bezos calls it)
2
5. 11/6/2013
Users Wait Too Long For New
Servers
Requester
Submit
Request
Requester
Acquire
HW &
SW
Install &
Config.
HW
Install &
Config
SW
Deploy
Server
Three to six months to provision a new server!
Howard Levenson, IBM
From http://geekandpoke.typepad.com
5
6. 11/6/2013
Cloud Computing Delivery Models
Flexible Delivery Models
Public …
Private …
•Access by Service provider
owned and managed.
•subscription.
•Delivers select set of
standardized business process,
application and/or
infrastructure services on a
flexible price per use basis.
.…Standardization, capital
preservation, flexibility and
time to deploy
ORGANIZATION
•Privately owned and
managed.
•Access limited to client
and its partner network.
•Drives efficiency,
standardization and best
practices while retaining
greater customization and
control
Cloud Services
Cloud Computing
Model
Hybrid …
•Access to client, partner
network, and third party
resources
CULTURE
.… Customization, efficiency,
availability, resiliency, security
and privacy
GOVERNANCE
...service sourcing and service value
Growth of Data
6
7. 11/6/2013
Virtualization for Client Computing
Hosted Virtual Desktops
Architectural equivalent of
the blade PC
Full "thick-client" image,
thin-client delivery model
Application
Application
Application
PC OS
PC OS
PC OS
VMM
Server Hardware
Portable Personalities
• Carry the bubble, not the
hardware
• Portable media, stored on
the network
• Bubbles of various sizes:
some with OS, some without
.
Source: Matthew Gardiner, Computer Associates
7
8. 11/6/2013
Big Data Numbers
How many data in the world?
– 800 Terabytes, 2000
– 160 Exabytes, 2006
– 500 Exabytes(Internet), 2009
– 2.7 Zettabytes, 2012
– 35 Zettabytes by 2020
How many data generated ONE day?
– 7 TB, Twitter
Big data: The next frontier for innovation, competition, and productivity
McKinsey Global Institute 2011
– 10 TB, Facebook
Tapping into the Data
•
•
•
•
Data Storage
Reporting
Analytics
Advanced Analytics
– Computing with big
datasets is a
fundamentally different
challenge than doing “big
compute” over a small
dataset
Utilized data
Unutilized data
that can be
available to
business
8
9. 11/6/2013
Business, Knowledge, and Innovation
Landscape
• Typically 80% of the key knowledge (and value) is held
by 20% of the people – we need to get it to the right
people
• Only 20% of the knowledge in an organization is
typically used (the rest being undiscovered or underutilized)
• 80-90% of the products and services today will be
obsolete in 10 years – companies need to innovate &
invent faster
Copyright 2012@ HBMG Inc.
Computer generated data
Application server logs (web sites, games)
Sensor data (weather, water, smart grids)
Images/videos (traffic, security cameras)
Human generated data
Twitter “Firehose” (50 mil tweets/day 1,400% growth
per year)
Blogs/Reviews/Emails/Pictures
Social graphs
Facebook, linked-in, contacts
Device generated data
– …………..
9
10. 11/6/2013
“Big Data” and it’s close
relatives “Cloud Computing”,
“Social Media” and "Mobile"
are the new frontier of
innovation.
Driven by Advance
Analytics
Big Data and It’s Brothers
Volume
Variety
Velocity
………..
10
11. 11/6/2013
Volume
Volume is increasing at incredible
rates. With more people using
high speed internet connections
than ever, plus these people
becoming more proficient at
creating content and just more
people in general contributing
information are combined forces
that are causing this tremendous
increase in Volume.
Variety
Next in breaking down Big Data into easily
digestible bite-size chunks is the concept of
Variety. Take your personal experience and
think about how much information you create
and contribute in your daily routine. Your
voicemails, your e-mails, your file shares, your
TV viewing habits, your Facebook updates,
your LinkedIn activity, your credit card
transactions, etc.
Whether you consciously think about it or not the
Variety of information you personally create on
a daily basis which is being collected and
analyzed is simply overwhelming.
11
12. 11/6/2013
Velocity
The speed at which data enters organizations these
days is absolutely amazing. With mega internet
bandwidth nearly being common place anymore in
conjunction with the proliferation of mobile devices,
this simply gives people more opportunity than ever
to contribute content to storage systems.
VELOCITY
Worldwide digital content
will double in 18 months,
and every 18 months
thereafter.
IDC
Mobile
Inventory
Emails
Planning
GPS
CRM Data
Demand
The Economist
Speed
Opportunities
Things
Service Calls
In 2005, humankind
created 150 exabytes
of information. In
2011, over 1,200
exabytes was created.
Velocity
Customer
Transactions
Sales Orders
Instant Messages
Tweets
VOLUME
VARIETY
80% of enterprise data
will be unstructured,
spanning traditional and
non traditional sources.
Gartner
12
13. 11/6/2013
But I Believe there are Four V4
Clouds and Crowds
Interactive Cloud
Analytic Cloud
People Cloud
Transactional
systems
Data entry
… + Sensors
(physical & software)
… + Web 2.0
Get and Put
Map Reduce
Parallel DBMS
Stream Processing
… + Collaborative
Structures (e.g.,
Mechanical Turk,
Intelligence
Markets)
Data Model
Records
Numbers, Media
… + Text, Media,
Natural Language
Response
Time
Seconds
Hours/Days
… +Continuous
Data
Acquisition
Computation
The Future Cloud will be a Hybrid of These.
.
13
14. 11/6/2013
As the world gets smarter,
infrastructure demands will grow
Smart
traffic
systems
Smart
Smart oil
food
field
technologies systems
Smart water
management
Smart
supply
chains
Smart
healthcare
Smart retail
Smart
weather
Smart
countries
Smart
energy
grids
Smart
regions
Smart
cities
.
14
15. 11/6/2013
The Threat Landscape Has
Evolved…
CYBERCRIMINALS
FINANCIALLY
MOTIVATED
Ransom
& fraud
DDOS
Defacement
ATA/APT
GRADE
BAD
DATA
STUFF IN
THEFT
GOOD STUFF
MALWARE
OUT
HACKTIVISTS
POLITICALLY
MOTIVATED
NATIONALISTICALLY
MOTIVATED
Public data
leakage
STATESPONSORED
ATTACKERS
Gov’t, enterprise &
infrastructure
targets
29
The Malware Problem –
Overwhelming Odds
1/3
85%
of malware is customized
(no signature available at
time of exploit)
of breaches took weeks
or more to discover (+6%)
of organizations believe
exploits bypassing their
IDS and AV systems
(VzB, 2012)
(VzB, 2012)
(Ponemon)
91%
30
15
16. 11/6/2013
Why is Security Hard?
No system can be 100% secure
– Reality is risk mitigation, not risk avoidance
Difficult to prove good security
– Bad security gets proven for us!
Good security and no security can look the same
– How does one know how secure they are?
Many things to secure
– People, equipment, OS, network, Application Servers,
applications, phones, and databases
Balancing the Business
Usability
Add Devices and Thing to Things
and it gets very BAD
x
Security
Performance
16
17. 11/6/2013
Mobile Devices
Mobile computers:
– Mainly smartphones,
tablets
– Sensors: GPS, camera,
accelerometer, etc.
– Computation: powerful
CPUs (≥ 1 GHz, multicore)
– Communication:
cellular/4G, Wi-Fi, near
field communication
(NFC), etc.
Many connect to cellular
networks: billing
system
Cisco: 7 billion mobile
devices will have been
sold by 2012
Organization
Data Mining as a Threat to
Security
Data mining gives us “facts” that are not obvious to human
analysts of the data
Enables inspection and analysis of huge amounts of data
Possible threats:
– Predict information about classified work from correlation with
unclassified work (e.g. budgets, staffing)
– Detect “hidden” information based on “conspicuous” lack of
information
– Mining “Open Source” data to determine predictive events (e.g.,
Pizza deliveries to the Pentagon)
It isn’t the data we want to protect, but correlations among
data items
Published in Chris Clifton and Don Marks, “Security and Privacy Implications of Data Mining”,
Proceedings of the ACM SIGMOD Workshop on Research Issues in Data Mining and
Knowledge Discovery
17
18. 11/6/2013
Challenges in the 21st century
Safety &
Security
Information
Explosion
Knowledge
Economy
Globalization
Accelerating
Change
International
Partnerships
Complex
Technologies
Finite
Resources
Diverse
Workforce
Life-Long
Learning
Citizen
Engagement
Sustainable
Development
Mega Trends to Consider…
•
Digitization of all content (listening = getting!)
•
Distribution is the default (just having a network
won’t be enough)
•
Virtualization (location matters less and less)
•
Niche-ization of content & lifestyles
•
Mass-Personalization of media will become
standard
•
Democratization of creation, & peer production
•
Amateurization of the entire value chain (but
NOT to the detriment of experts)
•
“Godzilla-zation” of users/consumers
18
19. 11/6/2013
Growth at the Edge of the Network
4,000
Petabytes/Day Global
3,500
• Mobile
• Device to Device
• Sensors
• Entertainment
• Smart Home
• Distributed Industrial
• Autos/Trucks
• Smart Toys
3,000
2,500
2,000
1,500
Converged
Content
1,000
500
Traditional
Computation
0
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Year
19
20. 11/6/2013
Internet of Things
• a system . . . that would be able to
instantaneously identify any kind of object.
• network of objects . .
• one major next step in this development of the
Internet, which is is to progressively evolve
from a network of interconnected computers to
a network of interconnected objects …
• from communicating people (Internet)
... to communicating items …
• from human triggered communication …
•
... to event triggered communication
20
21. 11/6/2013
Tomorrow’s ubiquitous world of
tags, sensors and smart systems
Sensor Data Volume
How do we handle all this data?
“Rebalancing Collection & PED may be Necessary”
21
23. 11/6/2013
.
Embeddedness
The Invisible Computer
EmbeddednessDigital convergence
technologies will “form the invisible technical
infrastructure for human actionanalogous to the
visible infrastructure provided by buildings and
cities.”
Embeddedness is driven by cost-effective computing,
Moore’s Law, miniaturization, ubiquitous
communication, and advanced materials and sensing
devices.
In 2000, 98% of computing devices sold are embedded
in products and are not apparent to the product’s
user.
23
24. 11/6/2013
Emerging Technology Sequence
Emerging
Technology
Vectors
Cellular
Array
Defect
Tolerant
Biologically
Inspired
1-D
Structures
Resonant
Tunneling
Floating
Body DRAM
Nano
FG
UTB Single
Gate FET
Source/Drain
Engineered FET
SET
Quantum
Computing
Molecular
Insulator
SET Resistance
Change
QCA
Molecular
UTB Multiple
Gate FET
Biological
Based
Architecture
Spin
Transistor
Logic
Quantum
Quasi
Ballistic FET
DNA Memory
Hybrid Non-Classical
CMOS
Risk
Source: Technology Futures, Inc.
Risk Management And Needed
Security
Unacceptable Risk
Impact to business
Business defines impact
High
Low
Risk management
drives risk to an
acceptable level
Acceptable Risk
Probability of exploit
High
Security engineering defines probability
24
25. 11/6/2013
Cyber Security is all about tradeoffs
Productivity
Security
Let’s build it
Cash out the benefits
Next generation can secure it
Let’s not build it
Let’s bake in super-security to
make it unusable/unaffordable
Let’s sell unproven solutions
There is a middle ground
We don’t know how to predictably find it
49
Exposures
1. Increased Dependency on Complex Technologies
and Business Processes
2. Steep Decline of Barriers to Trade
3. Speed of Transactions
4. The Death of Distance
5. The Adoption of Advanced Communications
6. Consolidation/Transformation of Traditional
Industries
7. The Internet and the Abundance of Information
8. Infrastructure
9. Overcommitted Agencies
10. Changing Social Constructs
11. The Device to Device Computing Growth
25
26. 11/6/2013
Top 5 Most Appreciated Technologies
Microwave Oven
Universal Remote Control
Garage Door Opener
Telephone Answering Machine (For Home)
Ear Thermometer
77.3%
66.6%
64.6%
61.7%
59.5%
26
27. 11/6/2013
Big Data
“85% of eBay’s analytic workload is new and
unknown. We are architected for the
unknown.”
Oliver Ratzesberger, eBay
Data exploration – data as the new oil
The exploration for data, rather than the exploration of data
Uncovering pockets of untapped data
Processing the whole data set, without sampling
eBay’s Singularity platform combines transactional data
with behavioral data, enabled identification of top sellers,
driving increased revenue from those sellers
53
27
28. 11/6/2013
Cyberspace will become orders of
magnitude more complex and confused very
quickly
Overall this is a very positive development
and will enrich human society
It will be messy but need not be chaotic!
Cyber security research and practice are
loosing ground
VOLUME / VELOCITY / VARIETY Change
everything
The Internet of Things will Change it all
55
In Parting: Be Paranoid
“Sooner or later, something
fundamental in your business
world will change.”
Andrew S. Grove, Founder, Intel
“Only the Paranoid Survive”
28