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
26 Feb 2026
Confluent adds A2A support to fuel multi-agent AI networks
Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor distinguish itself from its closest competitors. Continue Reading
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Opinion
25 Feb 2026
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost. Continue Reading
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Feature
27 Jul 2009
An introduction to database transaction management
Find out the performance advantages of using one connection for multiple statements in this database tutorial. Get a definition of local vs. distributed transactions and learn how to manage database transactions. Continue Reading
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Feature
11 Jun 2009
Similarities and differences between ROLAP, MOLAP and HOLAP
Find out the differences between ROLP, MOLAP and HOLAP and their advantages and disadvantages. Learn about data quality and the evolution of data warehouse applications. Continue Reading
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Feature
20 May 2009
Data modeling for the business: What is a data model?
Learn about high-level data modeling, what a data model is and how business and IT can use logical data modeling to plan a data design with these best practices from a data modeling handbook and guide. Continue Reading
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Answer
14 Oct 2008
What are the components of service-oriented architecture (SOA)?
What are the components that make up service-oriented SOA? Find out in this expert response. Continue Reading
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Answer
21 May 2008
Enterprise versus project level conceptual data modeling
Learn the differences between enterprise level and project level conceptual data modeling, and find out how both approaches are compatible. 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