You Love Data - You Work with Data - You Solutionize Data - You Got to Join these Webinars
Data Discovery for Big Insights
More and more data discovery tools are helping organizations transform the volumes of data they produce and collect into a revenue-enhancing resource. Register to hear BI Consultant Jaime Fitzgerald offer insights for encouraging data discovery in your organization. Fitzgerald will explain best practices for fostering an analytical atmosphere that creates a culture of insightful thinking.
May 17, 2012
The Big Deal About Big Data Governance
When faced with rapidly increasing amounts of data, organizations often resort to quick-fix solutions before truly understanding the best ways to manage their business information. Register for this web seminar to learn about the unexpected challenges it presents and the importance of implementing structured processes – plus how to approach their own data governance solutions when it comes to Big Data.
May 22, 2012
Treating Big Data Performance Woes with the Data Replication Cure
This webinar explains how data replication optimizes Big Data analytics performance by rapidly cloning and propagating data sets to multiple targets for real-time response to different business analytics needs.
May 23, 2012
The Role of Data Virtualization in a World of Big Data
Join well-known analytics and big data expert Mark Madsen and data virtualization expert David Besemer to learn how adding data virtualization to your big data strategy can increase your big data success.
June 6, 2012
Advanced Catalog Management capabilities with IBM Master Data Management
The webinar will discuss key features and benefits of using MDM to manage your product catalog for Commerce, creating a foundation for enterprise-wide Product Information Management in the future and demonstration of how MDM and WebSphere Commerce work together
June 7, 2012
Data Integration Styles: Choosing an Approach to Match Your Requirements
Hear Gartner analyst Eric Thoo describe four critical data delivery styles and map them to five key use cases and provide insights into evolving data integration challenges and the capabilities that are emerging to address them.
June 13, 2012
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