format_quote Press Release

Teradata Aster Sponsors Big Analytics Webcast Series

May 1, 2012 | San Diego

Teradata Aster webcasts provide expert advice on using big analytics to transform decision-making process

Businesses have larger volumes of data about their operations, customers, prospects, influencers, and competitors than ever before– and this data is exploding at exponential rates. The most successful companies are able to leverage both traditional and new, multi-structured data types from both inside and outside of the organization.

Designed for both the business and technical person, the 2012 Teradata Aster webcasts will provide expert advice on how to leverage the data using big analytics. The speakers will offer descriptions of available technologies and when to use each one. They will discuss real-world use cases, debate the impact of data science, and share peer-to-peer advice on lessons learned. Participants will gain the practical knowledge and tools to develop a big analytics roadmap for their organization in order to transform the decision-making process and better compete and win in the marketplace.

Interested in getting answers? Check out the first webcast in the series.

Title: Bridging the Gap: SQL and MapReduce for Big Analytics
Speakers: Rick van der Lans, R20 consulting group and Steve Wooledge, Teradata Aster
When: May 2, 2012, 10:00 a.m., PST
Abstract: Understanding how MapReduce works and how it can be used to a support a company’s business intelligence needs may at first seem like a daunting task. However, the speakers will clarify the issues and answer the following questions:

1. What is MapReduce and how does it work with structured query language (SQL) user defined functions (UDF), and other analytic techniques
2. If SQL developers and business analysts become “data scientists,” what is the value to the organization?
3. How can MapReduce fit into the existing business intelligence environment?
4. What is the best way to develop a roadmap?
5. Do companies need specialized data scientists to attack the big data challenge?

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