See the most recent Webcasts below.
In-memory database management systems have matured to the point where they predictably promise accelerated application performance. By adopting alternative storage layouts amenable to in-memory processing, these databases take advantage of efficient use of available memory to reduce or even eliminate the data latencies typically associated with significantly slower disk-based storage media.
Date: May 1, 2014
Time: 9:00AM PT
Sponsored By SAP
Valuable organizational data about a company’s business and its customers is often found in reports. This might include financial statements, billing invoices, healthcare patient records, or statements of benefits. Such data is often stored in a company’s enterprise content management (ECM) systems.
Date: May 7, 2014
Sponsored By Datawatch
Organizations today are seeking to explore and analyze big data to detect patterns and find anomalies across terabytes or petabytes of raw big data. Whether you’re trying to discover the root cause of the latest customer churn or the hidden costs that are eroding your bottom line, you need analytic tools and techniques that work well with large volumes of all data, not just unstructured and multi-structured data.
Date: May 20, 2014
Sponsored By Teradata
High-quality data visualization is critical to the success of business intelligence, analytics, and data presentation. Because graphical interaction with data is now the norm, users are excited—and also have increasingly high expectations. Technology is important, but you also need to execute best practices to avoid pitfalls and to create beautiful data visualizations that are clear, effective, and accurate.
Date: May 21, 2014
Sponsored By IBM
Today’s BI environments have split personalities. They must support the production of routine reports and analyses used every day for decision-making by line-of-business employees, and yet, also enable data scientists and data crunchers to “freewheel” through the data in an unplanned, experimental fashion. What magic is this? How can implementers create a sustainable BI environment with these two seemingly contradictory purposes? Does one replace the other? What are the technological requirements for this new world?
Date: May 22, 2014
Changes in the way that today’s business transpires have slowly been cutting away at the ability to meet fully the needs of data consumers. At some point, those who manage the data warehouse will hit a threshold or boiling point that will make modernization mandatory.
Date: May 28, 2014
Sponsored By Hewlett Packard
Information integration is critical for becoming smarter with data. Across all industries, organizations want to use data analytics to discover how they can reduce costs without sacrificing quality and effectiveness. Firms both large and small want to pull diverse data streams together. Users can then uncover insights and innovate at a faster pace than their competition.
Date: May 29, 2014
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