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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Opinion
24 Apr 2025
Unified databases: A powerhouse behind generative AI success
Unified databases support generative AI (GenAI) by integrating all data types into a single platform, streamlining infrastructure and improving scalability, speed and trust. Continue Reading
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News
17 Apr 2025
Monte Carlo launches first agents for data observability
Though the vendor already provides monitoring and troubleshooting capabilities, generative AI-powered agents for each aim to make instantaneous tasks that previously took days. Continue Reading
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Tutorial
06 Apr 2011
Structuring data integration models and data integration architecture
Get tips on structuring data integration models and data integration architecture. Learn how to build a business case for data integration modeling and leverage process modeling. Continue Reading
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Tutorial
06 Apr 2011
Using logical data models for data integration modeling
Learn about using logical data models for data integration modeling. Get an overview of using a target-based data integration design technique. Continue Reading
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News
23 Mar 2011
Capacity planning for the data warehouse environment
Capacity planning is essential for all data warehouse environments. Data warehouses grow at high rates and must be managed to keep budgets under control. Continue Reading
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Answer
02 Aug 2010
What is the difference between data definition language (DDL) and SQL?
Learn the difference between a data definition language (DDL), also known as data descriptive language, and the Structured Query Language (SQL). Find examples of both DDL and SQL. Continue Reading
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Answer
01 Jun 2010
Steps for converting a logical data model into a physical data model
Learn how to convert a logical data model into a physical data model via data modeling best practices. Find out how DDL and your data modeling practices play a role in conversions. Continue Reading
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Feature
26 Oct 2009
Advantages and disadvantages of XML shredding
Learn about the advantages and disadvantages of XML shredding and different shredding methods, plus find out when shredding is and isn't a good option for your company. 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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News
08 May 2008
A brief history of ETL
"Do you remember the spread of data warehousing through the public and then private sectors? The IPO of Prism Solutions? This article takes a look at the history of ETL and provides a glimpse into ETL's future." 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