BEST PRACTICES FOR SELF-SERVICE DATA DISCOVERY

Attivio

Approximately 64% of any BI initiative is devoted to identifying and profiling data sources, according to a recent Forrester report.
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Spotlight

Many concurrent trends are driving dramatic changes in today’s enterprise IT. However, the array of additional workloads in containers – including security, data analytics and big data – indicates that
we’re increasingly headed toward more mission-critical and stateful applications. We can also get a sense of how containers are impacting enterprise IT practices and the market by considering the primary application workloads among enterprise users. With an increasing number of line-of-business, data analytics/business intelligence, big-data, database and data warehousing applications in containers, there will be a fairly significant connection between containers and data persistence/storage.


OTHER ON-DEMAND WEBINARS

Building Next-Gen Data Pipelines with Databricks Delta

Databricks

Building performant ETL pipelines to address analytics requirements is hard as data volumes and variety grow at an explosive pace. With existing technologies, data engineers are challenged to deliver data pipelines to support the real-time insight business owners demand from their analytics. Databricks Delta is the next generation of evolution in big data processing from Databricks, the company founded by the original creators of Apache Spark.
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Build a Portfolio Analysis Production Application in MATLAB using Object-Oriented Programming Techniques

Learn how you can use MATLAB to analyze, construct and optimize portfolios interactively, and build robust graphical point-and-click portfolio analysis applications that you can deploy throughout your organization. Specific topics include: Importing data, Constructing and optimizing portfolios, Calculating risk metrics, Using object-oriented programming in MATLAB to construct maintainable, robust applications. Building user interfaces, Generating a formatted single-page report, Deploying standalone applications.
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Big Data: Deploying Apache Hadoop with Hortonworks Data Platform on Azure

The emergence of Big Data has driven the need for a new data platform within the enterprise. Apache Hadoop has emerged as the core of that platform and is driving transformative outcomes across every industry…
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The Analyzer of Everything: Going Far and Wide

When you know better, you do better. Understanding what's happening anywhere in your company's purview opens doors to innovation, excellence and profit. Today, a confluence of next-generation technologies enables this kind of synergy. Analytics can be done anywhere, with data sets that are increasingly accessible and valuable. Register for this episode of The Briefing Room to hear Data Scientist Dez Blanchfield explain the sea change taking place now in the world of enterprise analytics. He'll briefed by Ben Vandiver of HPE Big Data, who will showcase his company's time-tested Vertica platform for deep analytics.
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Spotlight

Many concurrent trends are driving dramatic changes in today’s enterprise IT. However, the array of additional workloads in containers – including security, data analytics and big data – indicates that
we’re increasingly headed toward more mission-critical and stateful applications. We can also get a sense of how containers are impacting enterprise IT practices and the market by considering the primary application workloads among enterprise users. With an increasing number of line-of-business, data analytics/business intelligence, big-data, database and data warehousing applications in containers, there will be a fairly significant connection between containers and data persistence/storage.

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