TDWI Solution Spotlight IBM 2013

Join Us in New York for a Free Event on
High-Performance Strategies for Big Data Analytics!

June 13, 2013 
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Join your peers for a breakfast briefing on high performance for big data analytics. Analytics is the primary path to business value from big data, and analytics can transform big data from a boat-anchor cost center into a driver for new business practices for greater competitiveness, profitability, and operational excellence.

In this executive briefing, we’ll discuss how real-world organizations are applying analytics to leverage big data for business advantage, and we’ll present an architecture that enables the successful management and analysis of big data, but with high performance even in the face of big data volumes and complexity.

You will learn about:

  • Why user organizations are keen to get business value from big data, instead of absorbing the costs of managing it
  • How business insights are drawn from big data, largely via analytics
  • Which components are required of high-performance analytic systems
  • The adjustments your existing data warehouse and business intelligence technology stacks need in order to ably incorporate big data and advanced forms of analytics
  • Leveraging new computing architectures—such as in-memory computing, embedded analytics, and columnar databases—to build a high-performance analytic system

Register Today 

Please note: This event is open to all BI and DW professionals from user organizations. This event is not open to representatives from vendor organizations.

Agenda

8:30–9:00 a.m. Registration and Full Breakfast
9:00–10:00 a.m. TDWI Speaker:
Big Insights from Big Data: Achieving High-Performance Analytics with Very Large Data Sets, Philip Russom, Research Director for Data Management, TDWI
10:00–10:15 a.m. An Integrated Data Architecture for All Your Analytics: From Sub-Second to Strategic Information Analysis, Tom Traubitz, Director of Solution Marketing and Strategy, SAP
10:15–10:30 a.m. Q&A
10:30–10:35 a.m. Closing and $300 American Express card drawing 

 

Solution Spotlight Presentations

Big Insights from Big Data: Achieving High-Performance Analytics with Very Large Data Sets

Philip Russom  TDWI Speaker:
Philip Russom

Research Director for Data Management, TDWI 

Just a handful of years ago, big data was a problem in terms of scaling up IT systems and discovering the business value of big data. Thanks to advances in vendor platforms and user practices, most enterprises today consider big data an opportunity—not a problem—because they can mine big data and analyze it for business insights that improve competitiveness, profitability, and operational excellence. In fact, conventional wisdom today tells us that analytics is the primary path to the business value of big data. Hence, many user organizations are moving deeper into high-performance analytics with very large data sets.

However, getting full business intelligence value out of big data requires some adjustments to user best practices and vendor tools for data warehouses. For example, even the most robust DW platforms could use some help scaling up to the extreme volumes of big data; to this end, many organizations are adding Hadoop to their DW environments. Organizations with mature reporting, OLAP, and performance management solutions are looking for additional analytic methods and tools to complement these. High performance is more critical than ever, as analytics moves from mostly offline operation toward real-time operation; organizations are deploying technologies that are inherently fast, such as in-memory computing, embedded analytics, and columnar databases.

In this executive briefing, we’ll nail down the true business proposition of big data and present an infrastructure that enables the management and analysis of big data, but with high performance even in the face of big data volumes.

You will learn about:

  • Why user organizations are keen to get business value from big data, instead of absorbing the costs of managing it
  • How business insights are drawn from big data, largely via analytics
  • Which components are required of high-performance analytic systems
  • The adjustments your existing data warehouse and business intelligence technology stacks need in order to ably incorporate big data and advanced forms of analytics
  • Leveraging new computing architectures—such as in-memory computing, embedded analytics, and columnar databases—to build a high-performance analytic system

 

An Integrated Data Architecture for All Your Analytics: From Sub-Second to Strategic Information Analysis

  Tom Traubitz
Director of Solution Marketing and Strategy, SAP 

Pervasive analytics is revolutionizing business decision making and giving a competitive edge to those who can tame big data sets. Learn how SAP’s comprehensive portfolio of data management and analytic technologies can help you make data analysis available to all levels of your organization with scalability and unmatched performance. Designed to work seamlessly from real time to strategic decision making, SAP’s solutions can make smarter information analysis available by making data assets available throughout the enterprise at game-changing speeds.


Register Today 

 

Hotel Information

The Yale Club of NY
50 Vanderbilt Avenue
New York, NY 10017
View hotel website 

Dates and Locations:

San Francisco, CA
April 2
8:30–10:30 a.m.

New York, NY
April 4
8:30–10:30 a.m.

Washington, DC
April 9
8:30–11:00 a.m.

Chicago, IL
April 17
8:30–10:30 a.m.

Toronto, ON
April 18
8:30–10:30 a.m.

Raleigh, NC
April 23
8:30–10:30 a.m.

Sponsored by

Cost

None. This is a complimentary event!