Many users spend too much time preparing data and not enough time providing the valuable analysis. Datawatch is the fastest and easiest solution for self-service data preparation and automation to analyze your data in Tableau quickly and easily.
Forrester’s View on Accelerating Analytics and Insights with Data PrepDatawatchCorporation
The first thing analysts want is access to all their data to get insights quickly. The last thing they want is to be slowed down by hard to acquire data, messy data, and governance barriers. One of the ways organizations can improve the time to analytics is with self-service data preparation tools.
Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation
Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
Data is the future of business. Either take advantage of it, or get surpassed by those who do.
In this webinar, Ovum's Tony Baer discusses the importance of building a modern data strategy that ensures your journey with Apache Hadoop and big data is a successful one. Together, we'll walk through how to build a plan for long-term success while realizing short-term gains, including:
How to pinpoint the business goals that matter most
How to assess your strengths and weaknesses to meet those goals
How to build a thoughtful approach that ensures your initiatives succeed
Forrester’s View on Accelerating Analytics and Insights with Data PrepDatawatchCorporation
The first thing analysts want is access to all their data to get insights quickly. The last thing they want is to be slowed down by hard to acquire data, messy data, and governance barriers. One of the ways organizations can improve the time to analytics is with self-service data preparation tools.
Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation
Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
Data is the future of business. Either take advantage of it, or get surpassed by those who do.
In this webinar, Ovum's Tony Baer discusses the importance of building a modern data strategy that ensures your journey with Apache Hadoop and big data is a successful one. Together, we'll walk through how to build a plan for long-term success while realizing short-term gains, including:
How to pinpoint the business goals that matter most
How to assess your strengths and weaknesses to meet those goals
How to build a thoughtful approach that ensures your initiatives succeed
What is the value of big data? How does a user get that value?
Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.
In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
Creating a Data Driven Organization - StampedeCon 2016StampedeCon
Companies today are all focused on finding new consumption models to better utilize the data they produce. This presentation will provide insights and best practices for creating the organization and sponsorship necessary to set the foundation for success.
For this session, Dan will provide an overview of the process and methodologies he employs to establish and sustain a Data Driven Culture. Key topics will include:
Data Driven Culture
Executive Sponsorship
Organizational Structure – Collaboration Hubs and Bi-Modal Analytics
Role of Hadoop and Big Data as Part of Data Driven Culture
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
They serve customers across small, Mid-size and Enterprise segments-ranging from $50M to $50B in size-in multiple industries.
Services include: End-to-end implementations, managed services, project management, training, integrations with enterprise systems, and business process re-engineering.
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Reinventing the Modern Information Pipeline: Paxata and MapRLilia Gutnik
(Presented at MapR's Big Data Everywhere event in Redwood City, CA in December 2016)
The relationship between business teams and IT has changed as the complexity of data has increased. A traditional data pipeline designed for an IT-centered approach to information management is not designed for the data demands of today's business decisions. Designing a big data strategy requires modernizing previous approaches. Self-service data preparation in a collaborative, intuitive, governed, and secure environment is the key to a nimble and decisive business unit.
Data Discovery and BI - Is there Really a Difference?Inside Analysis
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Getting Started with Big Data for Business ManagersDatameer
Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before.
Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to:
Approach Big Data and associated business challenges
-- Identify what types of new insights can be revealed by Big Data
-- Staff for this undertaking and implement the technology necessary to be successful
-- Take the first steps toward getting started with Big Data on Hadoop
Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business. During this one-hour webinar, we demonstrated all that's new with Datameer 6 and how you can:
Discover answers to a new range of business questions using an iterative, exploratory approach
Find answers faster and deliver more insights with a new faster analytic workflow
Utilize Spark to speed analytic processing time without needing to know technical details
Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.
The Future of Data Warehousing and Data IntegrationEric Kavanagh
The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration.
Join this live webinar to learn:
-Typical requirements for data integration
-Common use cases and architectural patterns
-Guidelines and best practices to address data requirements
-Guidelines and best practices to apply architectural patterns
Talend Summer 16 launch présentation: Open Data Preparation for Everyone Jean-Michel Franco
Everyone needs data to make smarter decisions. But data unleashed and ungoverned puts the whole enterprise at risk. With the latest Talend platform, you can empower anyone in your organization to put data to work, without risk.
Watch this on-presentation to learn about our latest innovations:
Self-service data access
IT-governed data usage with role-based security
Fully integrated with Talend Data Fabric
Plus, see what’s new from Talend to boost big data and cloud productivity and expand scalability.
Metadata Mastery: A Big Step for BI ModernizationEric Kavanagh
Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidation and centralization are the keys to overcoming this barrier. What if all this were automated?
Join us to learn:
- How a smart and innovative new technology resolves metadata disparity
- How metadata management automation accelerates modernization efforts
- How metadata management automation reduces errors and improves quality of results from data management modernization projects
- How metadata management automation and data cataloging work together to help you move rapidly to the next generation of BI and analytics
Hadoop 2.0: YARN to Further Optimize Data ProcessingHortonworks
Data is exponentially increasing in both types and volumes, creating opportunities for businesses. Watch this video and learn from three Big Data experts: John Kreisa, VP Strategic Marketing at Hortonworks, Imad Birouty, Director of Technical Product Marketing at Teradata and John Haddad, Senior Director of Product Marketing at Informatica.
Multiple systems are needed to exploit the variety and volume of data sources, including a flexible data repository. Learn more about:
- Apache Hadoop 2 and YARN
- Data Lakes
- Intelligent data management layers needed to manage metadata and usage patterns as well as track consumption across these data platforms.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
What is the value of big data? How does a user get that value?
Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.
In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
Creating a Data Driven Organization - StampedeCon 2016StampedeCon
Companies today are all focused on finding new consumption models to better utilize the data they produce. This presentation will provide insights and best practices for creating the organization and sponsorship necessary to set the foundation for success.
For this session, Dan will provide an overview of the process and methodologies he employs to establish and sustain a Data Driven Culture. Key topics will include:
Data Driven Culture
Executive Sponsorship
Organizational Structure – Collaboration Hubs and Bi-Modal Analytics
Role of Hadoop and Big Data as Part of Data Driven Culture
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
They serve customers across small, Mid-size and Enterprise segments-ranging from $50M to $50B in size-in multiple industries.
Services include: End-to-end implementations, managed services, project management, training, integrations with enterprise systems, and business process re-engineering.
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Reinventing the Modern Information Pipeline: Paxata and MapRLilia Gutnik
(Presented at MapR's Big Data Everywhere event in Redwood City, CA in December 2016)
The relationship between business teams and IT has changed as the complexity of data has increased. A traditional data pipeline designed for an IT-centered approach to information management is not designed for the data demands of today's business decisions. Designing a big data strategy requires modernizing previous approaches. Self-service data preparation in a collaborative, intuitive, governed, and secure environment is the key to a nimble and decisive business unit.
Data Discovery and BI - Is there Really a Difference?Inside Analysis
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Getting Started with Big Data for Business ManagersDatameer
Big Data has become critical to the enterprise because of the massive amount of untapped data sources, and the potential to gain new insights that were previously not possible. So, how to get started with Big Data and Hadoop becomes a question more pertinent than ever before.
Listen to leading analyst at Ovum, Tony Baer, as he discusses answers to the key questions around how to:
Approach Big Data and associated business challenges
-- Identify what types of new insights can be revealed by Big Data
-- Staff for this undertaking and implement the technology necessary to be successful
-- Take the first steps toward getting started with Big Data on Hadoop
Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business. During this one-hour webinar, we demonstrated all that's new with Datameer 6 and how you can:
Discover answers to a new range of business questions using an iterative, exploratory approach
Find answers faster and deliver more insights with a new faster analytic workflow
Utilize Spark to speed analytic processing time without needing to know technical details
Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.
The Future of Data Warehousing and Data IntegrationEric Kavanagh
The rise of big data, data lakes and the cloud, coupled with increasingly stringent enterprise requirements, are reinventing the role of data warehousing in modern analytics ecosystems. The emerging generation of data warehouses is more flexible, agile and cloud-based than their predecessors, with a strong need for automation and real-time data integration.
Join this live webinar to learn:
-Typical requirements for data integration
-Common use cases and architectural patterns
-Guidelines and best practices to address data requirements
-Guidelines and best practices to apply architectural patterns
Talend Summer 16 launch présentation: Open Data Preparation for Everyone Jean-Michel Franco
Everyone needs data to make smarter decisions. But data unleashed and ungoverned puts the whole enterprise at risk. With the latest Talend platform, you can empower anyone in your organization to put data to work, without risk.
Watch this on-presentation to learn about our latest innovations:
Self-service data access
IT-governed data usage with role-based security
Fully integrated with Talend Data Fabric
Plus, see what’s new from Talend to boost big data and cloud productivity and expand scalability.
Metadata Mastery: A Big Step for BI ModernizationEric Kavanagh
Modernizing data management is on everyone’s mind today. Making the shift from data management practices of the BI era to modern data management is essential but it is also challenging. Whether you’re updating the back end by migrating your data warehouses to the cloud or advancing the front end with a shift from legacy BI tools to self-service analysis and visualization, it is critical to know the data that you have and to understand data lineage. Data inventory, data glossary, and data lineage are all metadata dependent. But legacy BI metadata is typically proprietary, non-integrated, and collected inconsistently by a variety of disparate tools. The metadata muddle is a serious inhibitor to modernization efforts. Metadata consolidation and centralization are the keys to overcoming this barrier. What if all this were automated?
Join us to learn:
- How a smart and innovative new technology resolves metadata disparity
- How metadata management automation accelerates modernization efforts
- How metadata management automation reduces errors and improves quality of results from data management modernization projects
- How metadata management automation and data cataloging work together to help you move rapidly to the next generation of BI and analytics
Hadoop 2.0: YARN to Further Optimize Data ProcessingHortonworks
Data is exponentially increasing in both types and volumes, creating opportunities for businesses. Watch this video and learn from three Big Data experts: John Kreisa, VP Strategic Marketing at Hortonworks, Imad Birouty, Director of Technical Product Marketing at Teradata and John Haddad, Senior Director of Product Marketing at Informatica.
Multiple systems are needed to exploit the variety and volume of data sources, including a flexible data repository. Learn more about:
- Apache Hadoop 2 and YARN
- Data Lakes
- Intelligent data management layers needed to manage metadata and usage patterns as well as track consumption across these data platforms.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Webinar - Accelerating Hadoop Success with Rapid Data Integration for the Mod...Hortonworks
Many enterprises are turning to Apache Hadoop to enable Big Data Analytics and reduce the costs of traditional data warehousing. Yet, it is hard to succeed when 80% of the time is spent on moving data and only 20% on using it. It’s time to swap the 80/20! The Big Data experts at Attunity and Hortonworks have a solution for accelerating data movement into and out of Hadoop that enables faster time-to-value for Big Data projects and a more complete and trusted view of your business. Join us to learn how this solution can work for you.
Using AWS to design and build your data architecture has never been easier to gain insights and uncover new opportunities to scale and grow your business. Join this workshop to learn how you can gain insights at scale with the right big data applications.
Complement Your Existing Data Warehouse with Big Data & HadoopDatameer
To view the full webinar, please go to: http://info.datameer.com/Slideshare-Complement-Your-Existing-EDW-with-Hadoop-OnDemand.html
With 40% yearly growth in data volumes, traditional data warehouses have become increasingly expensive and challenging.
Much of today’s new data sources are unstructured, making the structured data warehouse an unsuitable platform for analyses. As a result, organizations now look at Hadoop as a data platform to complement existing BI data warehouses, and a scalable, flexible and cost-effective solution for data storage and analysis.
Join Datameer and Cloudera in this webinar to discuss how Hadoop and big data analytics can help to:
-Get all the data your business needs quickly into one environment
Shorten the time to insight from months to days
Extend the life of your existing data warehouse investments
Enable your business analysts to ask and answer bigger questions
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Data Integration for Both Self-Service Analytics and IT Users Senturus
See a cloud solution that enables data integration for applications such as Salesforce, NetSuite, Workday, Amazon Redshift and Microsoft Azure. View the webinar video recording and download this deck: http://www.senturus.com/resources/data-integration-tool-for-both-business-and-it-users/.
The rapid growth in self-service business analytics has created tremendous value for organizations, but in many cases has created tension between technical and business users. Technical teams have built solid data warehouses filled with trusted data from source systems such as sales, finance, and operations. Business teams are gaining tremendous insights by analyzing data warehouse information with traditional and new data discovery tools such as Cognos, Business Objects, Tableau, and Power BI.
The Informatica Cloud is a best-of-both-worlds solution that combines data integration for both business and IT users. It allows the following: 1) IT incorporates the business analyst’s data integration routines into the core, trusted data warehouse, 2) Business analysts can do data integration from both cloud-based and on-premise data sources, 3) Business analyst can use the industrial-strength data integration engine that IT teams have loved for years and 4) Integration for apps such as Salesforce, NetSuite, Workday, Amazon Redshift, Microsoft Azure, Marketo, SAP, Oracle and SQL Server.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Bring Your SAP and Enterprise Data to Hadoop, Kafka, and the CloudDataWorks Summit
The world’s largest enterprises run their infrastructure on Oracle, DB2 and SQL and their critical business operations on SAP applications. Organisations need this data to be available in real-time to conduct necessary analytics. However, delivering this heterogeneous data at the speed it’s required can be a huge challenge because of the complex underlying data models and structures and legacy manual processes which are prone to errors and delays.
Unlock these silos of data and enable the new advanced analytics platforms by attending this session.
Find out how to:
• To overcome common challenges faced by enterprises trying to access their SAP data
• You can integrate SAP data in real-time with change data capture (CDC) technology
• Organisations are using Attunity Replicate for SAP to stream SAP data in to Kafka
Speakers:
John Hol, Regional Director, Attunity
Mike Hollobon, Director Business Development, IBT
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Using AWS to design and build your data architecture has never been easier to gain insights and uncover new opportunities to scale and grow your business. Join this workshop to learn how you can gain insights at scale with the right big data applications.
Take Action: The New Reality of Data-Driven BusinessInside Analysis
The Briefing Room with Dr. Robin Bloor and WebAction
Live Webcast on July 23, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b
The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes.
Visit InsideAnlaysis.com for more information.
Similar to Self-Service Data Preparation for Tableau Users (20)
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
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AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
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✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
3. Better
ONLY 12%
Of enterprise data is used for
information and to make
decisions. ‘Dark Data’ growing
800% Reports, web pages, JSON, log files…
Databases, Salesforce, Hadoop, etc
4. Faster
80% WASTED TIME
Analysts spend vast majority of
time preparing data, not
analyzing data.
Work directly with data, no scripting
Automate, reuse & deliver
5. • The fastest and easiest way to acquire and
prepare the widest variety of data
• Built upon the most powerful engine used by the
world’s largest organizations for 20+ years
• Runs on your laptop or server for deployments
of any scale
Introducing Datawatch Monarch
13. Any data including
multi-structured
Proven scalability
to thousands of
users
Remove risk of
non-managed
data & processes
Intelligent UI
with powerful
engine
DISCOVER
Datawatch Managed Analytics Platform
GOVERN
ACQUIRE
PREPARE
AUTOMATE
15. Datawatch customers have an
above-average perception of their
overall customer experience,
particularly in the areas of support
and product quality.
2015 BI Magic Quadrant