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ABSTRACT:
The fundamental processes in data integration continue to present challenges to enterprises. This is not because the fundamentals have changed, but rather that expectations for data volumes to support reporting and analysis continue to increase. Although many look for the next emerging technology to solve data integration bottlenecks, it is clear to those that have been successful in handling their enterprise‟s data volume needs that techniques and tools already exist, are affordable, and can be quickly implemented.
The best approach to successful, large-scale data integration is to leverage file utilities for those processes that require processing of large, structured data sets. This approach may not get the attention that emerging technologies may, but look under the covers of many successful data integration applications and you will find that this approach is part of the savvy data integration practitioner‟s „tips & tricks‟ arsenal.
Topics:
data integration
data quality
Customer Data Integration
Data Warehousing
Enterprise Resource Planning (ERP)
Customer Relationship Management (CRM)
Databases
Enterprise Information Integration/ Metadata Management
Application Integration
Business Process Management (BPM)
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AUTHOR:
Richard Sherman
Founder, Athena IT Solutions
Richard P. Sherman is the founder of Athena IT Solutions, a Boston-area firm offering data warehousing and business intelligence consulting and training. Sherman has over 20 years of experience in data warehousing and business intelligence systems, having worked on more than 50 implementations as a director/practice leader at PricewaterhouseCoopers and while managing his own firm. He is an expert instructor and speaker at industry conferences and seminars and teaches at Northeastern University?s Graduate School of Engineering. He has a monthly column “The Data Integration Advisor” in DM Review, writes articles for searchDatamanagement.com and has been quoted in financial and industry publications. Sherman writes for two blogs: The Data Doghouse and Informatica?s Enterprise Data Management blog.
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