RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Modernizing Your Data Warehouse Environment

TDWI Speaker: Claudia Imhoff, Intelligent Solutions, Inc.

Date: Wednesday, September 21, 2016

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

“Throw the baby out with the bathwater!”

We hear that a lot. Changing business environments and competitive pressures have driven companies to seek a new edge from innovative technologies such as specialized data stores and the cloud. Today’s business intelligence (BI) and analytics implementation experts face disruptive decisions as they strive to support their business users’ shifting and diverse analytical needs. Increasing volumes and sources of data (on premises and in the cloud), technology adoption, more complex data integration and quality issues, and lower data latencies are just a few of the challenges that must be addressed.

Although new pressures are upsetting the status quo, traditional data warehouse and BI components are still needed. Your “old” data warehouse environment serves an important role in BI and analytics, but it is no longer alone. Analytics environments must be expanded beyond the data warehouse’s established “walls” to embrace innovative technologies in a consistent and seamless manner. You must bring in the new without losing sight of the need for a technical architecture. The key is to understand when, where, and how to incorporate the new capabilities appropriately.

Join this interactive session where we will discuss the extended data warehouse architecture (also known as the hybrid data warehouse from IBM), along with the need to support robust and easy-to-maintain access to all data for effective decision making. We will share case studies highlighting challenges involved in changing your existing architecture and best practices to ensure these new technologies are easily accessed and deployed.

Attendees will learn:

  • Disruptive technological trends for BI—their benefits and challenges
  • An overview of the extended architecture for a modern BI environment
  • What to consider when extending an analytics environment with new and critical architectural pieces
  • Best practices for extending your data warehouse architecture

Claudia Imhoff, Ph.D.

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