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Free IBM InfoSphere Warehouse 9.7 Redbook

Just released: InfoSphere Warehouse: A Robust Infrastructure for Business Intelligence

Here’s the abstract:

In this IBM® Redbooks® publication we describe and demonstrate Version 9.7 of IBM InfoSphere™ Warehouse. InfoSphere Warehouse is a comprehensive platform with all the functionality required for developing robust infrastructure for business intelligence solutions. It enables companies to access and analyze operational and historical information, whether structured or unstructured, to gain business insight for improved decision making. InfoSphere Warehouse solutions simplify the processes of developing and maintaining a data warehousing infrastructure and can significantly enhance the time to value for business analytics.

The InfoSphere Warehouse platform provides a fully integrated environment built around IBM DB2® 9.7 server technology on Linux®, UNIX® and Microsoft® Windows® platforms, as well as System z®. Common user interfaces support application development, data modeling and mapping, SQL transformation, online application processing (OLAP) and data mining functionality from virtually all types of information.

Composed of a component-based architecture, it extends the DB2 data warehouse with design-side tooling and runtime infrastructure for OLAP, data mining, inLine analytics and intra-warehouse data movement and transformation, on a common platform.

Thanks to the authors: Chuck Ballard, Nicole Harris, Andrew Lawrence, Meridee Lowry, Andy Perkins, and Sundari Voruganti.

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Introducing DB2′s Administrative Task Scheduler

In September, Kevin See and I published a how-to article on IBM’s popular developerWorks community website.  The article describes the new SQL-based Administrative Task Scheduler that was introduced in DB2 9.5 for Linux, UNIX, and Windows.

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Paper accepted at VLDB 2007

A paper I co-authored was accepted into the 33rd International Conference on Very Large Data Bases (VLDB 2007).  The conference will be held at the University of Vienna, Austria

The paper is titled “Efficient Bulk Deletes for Multi Dimensionally Clustered Tables in DB2“.

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