Manage Your Data as a Strategic Asset
Monday, April 29
1:30 – 2:30 p.m.
Marriott Marquis, Yerba Buena Salons 10-12

One of the biggest mistakes organizations make is to approach data as merely a technology asset. Data needs to be treated and funded as a corporate asset. This panel, moderated by Gavin Day of SAS and featuring experts from Vail Resort, United Natural Foods Inc. and Canada Post, will discuss the importance of establishing a data strategy and how to set expectations so that everyone understands that data management will be an ongoing process.

Bigger Data Analytics: Using SAS® on Aster Data and Hadoop
Monday, April 29
3:00 – 3:20 p.m.
Moscone West Convention Center, Room 2001

With the increased popularity of new big data clustered processing platforms, SAS Analytics now has the opportunity to solve newer, bigger problems than ever before. This presentation focuses on the evolution of big data analytics, the new data sources and types, and the new technologies for end-to-end analytic processing with SAS. It specifically demonstrates the use of SAS Analytics with SAS/ACCESS® for Aster, Aster SQL-MR, and SQL-H to integrate end-to-end big data analytics on the Aster Discovery Platform, even from raw data files stored on Hadoop clusters.

Bringing Churn Modeling Straight to the Source: SAS® and Teradata In-Database Model Development
Monday, April 29
4:00 – 4:20 p.m.
Moscone West Convention Center, Room 2004

Karl Krycha of Teradata offers a closer look at what happens when the predictive analytic power of SAS is combined with the performance and scalability of Teradata.

Adaptive In-Memory Analytics with Teradata: Extending Your Existing Data Warehouse to Enable SAS® High-Performance Analytics
Tuesday, April 30
9:00 – 9:20 a.m.
Moscone West Convention Center, Room 2001

SAS and Teradata have developed a new in-memory analytics architecture that delivers the power of SAS High-Performance Analytics to data in the enterprise data warehouse (EDW), without replication to an appliance. In this "Asymmetric" architecture, dedicated SAS nodes access Teradata data on demand via high-speed networking. Asymmetric in-memory processing extends a Teradata EDW to support SAS High-Performance Analytics with minimal impact. Greg Otto of Teradata and Tom Weber of SAS explain the Asymmetric architecture and configuration options, and quantify the impact to Teradata systems that are extended to support SAS in-memory analytics.

eBay Quadruples Processing Speed with SAS® In-Database Analytics for Teradata
Wednesday, May 1
9:30 – 10:20 a.m.
Moscone West Convention Center, Room 2006

John Scheibmeir and Arun Akkinapalli of eBay explain how using SAS in-database processing on eBay's Teradata-based Singularity Platform has reduced end-to-end processing time by a factor of four at eBay, conferring approximately 30 percent more processing capacity and enabling users to evaluate more experiments.


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