Performance Tuning of Data Warehouse

Performance Tuning Mechanisms for Data Warehouse: Query cache

Data warehousing encompasses architectures, algorithms, and tools for bringing together selected data from multiple databases or other information sources into a single repository, called a data warehouse suitable for direct querying or analysis. In recent years data warehousing has become a prominent buzzword in the database industry, but attention from the database research community has been...

Data Warehouse Performance

A data warehouse is a large electronic repository of information that is generated and updated in a structured manner by an enterprise over time to aid business intelligence and to support decision making. Data stored in a data warehouse is non-volatile and time variant and is organized by subjects in a manner to support decision making (Inmon, Rudin, Buss, & Sousa, 1998). Data warehousing has ...

Autonomous Data Ingestion Tuning in Data Warehouse Accelerators

The IBM DB2 Analytics Accelerator (IDAA) is a state-of-the art hybrid database system that seamlessly extends the strong transactional capabilities of DB2 for z/OS with very fast processing of OLAP and analytical SQL workload in Netezza. IDAA copies the data from DB2 for z/OS into its Netezza backend, and customers can tailor data maintenance according to their needs. This copy process, the dat...

Storage Layout and I/O Performance Tuning for IBM® Red Brick® Data Warehouse

Although Red Brick performance depends primarily on the logical database design, the placement and allocation of data files in the disk subsystem is another significant performance factor. There are many choices in the configuration and design of the physical database layout. This article reviews best practices propagated by storage and database vendors and presents measurements that compare st...

Top 5 Performance Tips for Tuning a Data Warehouse on GRID