In the last year or so, the business intelligence community has seen a rise in the popularity of the data warehousing appliance space. Although data warehousing has always been a main component within BI, vendors seem to be developing a niche market for themselves that include a wide variety of data warehousing solutions – whether appliances, analytics servers, or the increase in cloud computing options, the fact remains that many organizations look to data warehousing solutions to help consolidate their data and analyze that information to determine business opportunities and to identify potential issues before they occur.
Some announcements within the past week include:
- Sybase and the availability of Sybase SQL Anywhere, Sybase IQ, and Sybase Adaptive Server Enterprise for the Amazon Elastic Compute Cloud (EC2) environment. And a new release of Adaptive Server Enterprise (ASE) Cluster Edition, which is Sybase’s enterprise data management solution optimized for private cloud environments (through a partnership with Veritas and VMware).
- Kognitio’s data migration effort on behalf of Bupa, an international healthcare firm, taking 21 million claims contained on nine applications and migrating that information into 2 programs.
- ParAccel’s announcement of Merkle’s expansion to a 20 TB database to support its data growth and the use of the ParAccel cluster for BI and reporting applications using Business Objects, Cognos and Microstrategy front-end tools.
Overall, the expansion of capabilities, focus on cloud computing, larger data volumes, etc. shows that organizations are using data warehouses as key data access, analysis, and storage points within their organizations. It is no longer enough to store data or to identify general sales trends. Organizations must now gain value out of their data and provide extra value to customers. The recent announcements cited above are examples of how organizations are using data warehouses to do just that. And how they will continue to do so in the future will be a result of how well data warehouses continue to support expanding data volumes, increase analytics capabilities, enable better integration with diverse data sources, and develop business applications that give organizations better visibility into their customers, products, sales, etc.
About the Author
Lyndsay Wise is an industry analyst for business intelligence. For over seven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay is the channel expert for BI for the Mid-Market at B-eye-Network and conducts research of leading technologies, products and vendors in business intelligence, marketing performance management, master data management, and unstructured data. She can be reached at email@example.com. And please visit Lyndsay's blog at myblog.wiseanalytics.com.
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