Mixing Advanced Analytics And Transactional Workloads: The New Generation Of Agile Data Warehouses

Air Date: Thursday, August 19, 2010

Cost: $250

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Presented By:

Who should attend: Business Process professionals

Description:

The enterprise data warehouse (EDW) is fast evolving into an Agile application platform capable of mixing analytics and transactional workloads. A key driver in this trend is the increasing enterprise reliance on analytics-driven "next best action" transactions for eCcommerce, customer service, supply chain optimization, and other online applications. Key enabling technologies for the next-generation EDW include in-database analytics, massive parallelism, hybrid storage architectures, and dynamic mixed-workload management tools. In this Forrester teleconference, senior analyst James Kobielus will discuss use cases for which this new generation of EDWs are best suited. James will discuss the maturity of commercial next-generation EDW platforms that support mixing of analytic and online transactional processing (OLTP) workloads. He will provide guidance to Business Process professionals in evaluating, selecting, and deploying these next-generation EDWs to support Agile business processes.

Agenda

• Problem: Traditional data warehouses are not optimal for real-time analytics-driven transactions in the new online economy.
• Vision: Agile business processes are driving the evolution of the EDW into an analytic application server.
• Emerging best practices: Deploy next-generation EDWs that integrate analytic and transactional application logic with massive parallelism, hybrid storage architectures, and dynamic mixed-workload management tools.
• Key use cases: These include automated recommendation optimization in multichannel eCommerce, dynamic customer experience optimization, and real-time supply chain workflow optimization.
• Recommendations: Balance loads across your EDW ecosystem through hub-and-spoke architecture. Scale out your EDW through massive parallelism. Push down information management, advanced analytics and OLTP application execution to the EDW. Improve performance and cut cost in EDW through adoption of in-memory, columnar, and compressed storage.

Vendors mentioned: Aster Data, Greenplum, HP, IBM, Oracle, Sybase, and Teradata.

Related Research:

The Forrester Wave™: Predictive Analytics And Data Mining Solutions, Q1 2010

by James G. Kobielus, February 4, 2010

In-Database Analytics: The Heart Of The Predictive Enterprise

by James G. Kobielus, November 12, 2009

Business Intelligence (BI) Polishes Its Crystal Ball

by James G. Kobielus, Boris Evelson, Leslie Owens, August 18, 2009

Technical requirements:

An Internet connection and a one-time download of the WebEx™ Player are required.