Data integration
Most organizations draw data from multiple sources, including external ones. Data integration combines this data to create unified sets of information for tracking business performance and managing operations. Learn about data integration strategies to ensure information from multiple sources is consistent to meet users' data analysis needs across the organization.
Top Stories
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News
12 Mar 2025
Vast Data targets secure, speedy agentic AI development
The vendor is furthering its expansion into AI development with features such as vector search and event streaming aimed at enabling users to build and maintain agents. Continue Reading
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News
03 Mar 2025
Alation unveils AI agents plus SDK for agentic development
The data catalog vendor's new agents for documentation and data quality monitoring represent innovation among metadata management vendors and could force competitors to respond. Continue Reading
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Answer
22 Apr 2008
Data model conversion: Conceptual design to logical design using an ER model
Learn two common approaches to converting a data model from a conceptual design to a logical design. Continue Reading
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Answer
28 Nov 2007
The ETL process and MySQL
Get advice on the ETL process and ETL tools for transforming raw data in MySQL. Continue Reading
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Answer
23 Oct 2007
What are the benefits of a conceptual data model?
Learn the functions and potential benefits of a conceptual data model, from data modeling expert Pete Stiglich. Continue Reading
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Feature
21 Jun 2007
Continuous integration: The value of CI
Learn about the value of continuous integration and get reasons why continuous integration can benefit the enterprise in this free sample chapter download. Continue Reading