For Information & Knowledge Management Professionals (Length: 15 pages)

July 23, 2007

Data, Data Everywhere!

Very Large Database Issues And Implications For Business Intelligence

by Boris Evelson

with Erica Driver, Noel Yuhanna, Rob Karel, J. Paul Kirby, Jamie Barnett

Executive Summary (This is a document 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.

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TABLE OF CONTENTS

NOTES & RESOURCES

itemData, Data Everywhere!

itemCustomers Have Many VLDB Business Intelligence Options

itemWhat Will The World Of Data Look Like Tomorrow?

recommendations

itemI&KM Pros: Architect For Tomorrow, But Plan For The Day After

WHAT IT MEANS

itemHang On Tight As The Market Consolidates

itemSupplemental Material

Forrester interviewed 16 vendor companies, including: Business Objects, Cognos, DATAllegro, Endeca, FAST Search, Greenplum, IBM, Microsoft, MicroStrategy, Netezza, Oracle, SAP, SAS, Sybase, Teradata, and Textra Group.

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Find Documents In Related Categories

This document falls under the following categories. Click on a link below to find similar documents.
Analyst: Boris Evelson
Technology: Application Development, Application Infrastructure Technologies, Business Intelligence, Data Management, Data Warehousing, Information & Knowledge Management
Geography: Asia Pacific, Europe, North America

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Ratings and Comments
Rating: 8 out of 10
based on 3 ratings across all roles.
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