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Upcoming

David Loshin

In-Memory Computing: Expanding the Platform Horizon Beyond the Database

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

David Loshin


Fern Halper

Six Best Practices for Gaining Value from Enterprise Reports Using Next-Generation Analytics

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

Time: 9:00AM PT

Fern Halper


Philip Russom

Strategies for Data Exploration and Analysis in the Age of Big Data Analytics

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

Time: 9:00AM PT

Philip Russom


David Stodder

Beautiful Data in the Eye of the Beholder: Data Visualization Best Practices

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

Time: 9:00AM PT

David Stodder


Philip Russom

The Data Warehouse Modernization Tipping Point

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

Time: 9:00AM PT

Philip Russom


David Stodder

Crossing Healthcare Chasms with Information Integration Best Practices

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

Time: 9:00AM PT

David Stodder


David Stodder

Business-Driven BI & Analytics

Self-reliant and less dependent on IT, business executives and departmental/LOB managers and users are deploying the latest tools, services, and applications for business intelligence, analytics, and data discovery. Although IT is hardly disappearing from the picture, IT needs to adjust how it manages access to data sources and governs BI and analytics. Enterprise BI/DW systems also need to accommodate how users customize their BI and analytics as they see fit based on their roles. As BI and analytics tools become easier to use and more flexible, the trend toward business users directing their own BI and analytics experiences will accelerate.

Date: July 15, 2014

Time: 9:00AM PT

David Stodder


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