High-Performance Data Warehousing
Just about everything we do in data warehousing has some kind of high-performance requirement. Luckily, today’s DW performance challenges are being met by numerous technical advancements.
For example, there are now multiple high-performance platform architectures available for your data warehouse, including MPP, grids, clusters, server virtualization, clouds, and SaaS. For real-time data, databases and data integration tools are now much better at handling streaming big data, service buses, SOA, Web services, data federation, virtualization, and event processing. Plus, 64-bit computing has fueled an explosion of in-memory databases and in-memory analytic processing; solid-state drives and flash memory will soon fuel even more innovative practices. Other performance enhancements have recently come from multi-core CPUs, appliances, columnar storage, high-availability features, MapReduce, Hadoop, and in-database analytics.
Attendees will learn about:
- The findings of TDWI’s recent Best Practices Report on high-performance data warehousing
- An overview of technologies and techniques that contribute to high-performance data warehousing
- Recent business and technology trends that make high performance an even more pressing requirement for data warehousing
- Tips and strategies for prioritizing your own adoption of high-performance features
Philip Russom, Ph.D.
Content Provided by
TDWI, IBM, Cloudera, Oracle, ParAccel, SAP, SAS, Teradata, Vertica