Forrester: - Making Leaders Successful Every Day |
Search Forrester.com |
|||||||||||
Global Navigation
Local Navigation |
||||||||||||
| Primary Analyst Photo | Document Information | Rate this Document |
|---|---|---|
![]() |
July 23, 2007 Data, Data Everywhere!Very Large Database Issues And Implications For Business Intelligencewith Erica Driver, Noel Yuhanna, Rob Karel, J. Paul Kirby, Jamie Barnett |
Average: 8
(3 ratings)
|
This is an excerpt
The information revolution is producing mountains of digital data that are becoming more and more challenging to process and analyze. Not only are businesses generating more data every day, but our approach to data analysis (structured databases, indexes, and distributed data architectures) generates even more data. Furthermore, the volume of unstructured content is also increasing, adding to the proliferation. To help organizations get business value out of all this data, vendors — both platform vendors and business intelligence (BI) specialists — are offering multiple technology and architecture solutions for very large database (VLDB) BI. Understanding that BI for multiterabyte data sets may require different architectures and technologies than smaller data sets is key for successful VLDB BI implementations. Information and knowledge management professionals should implement the most appropriate VLDB BI option and plan for continued explosive data growth.
This is an excerpt
Price: US $499
Our Service Guarantee: If you are not completely satisfied with this document, notify Forrester within 24 hours of purchase for a full refund.
Already a Forrester Client?
Log in to read this document.
Information & Knowledge Management, Business Intelligence, Data Warehousing, Data Management, Application Development, Application Infrastructure Technologies