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Data modeling tools and techniques News
January 21, 2021
Kyligence is advancing the Apache Kylin project with a cloud-native offering that can help organizations more efficiently execute and manage data queries against large data sets.
January 08, 2021
Starburst is advancing its enterprise data platform with new funding that will help advance its cloud efforts around the open source Trino query engine formerly known as PrestoSQL.
September 03, 2020
New no-code data modeling and new text mining capabilities are featured in the latest platform update from Alteryx, which the vendor unveiled for general availability on Sept. 1.
April 25, 2019
Databricks' MLflow gets support from Microsoft and new features, including easier model tracking, as the open source tool prepares for its 1.0 release next month.
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Three types of data models and seven data modeling techniques are available to data management teams to convert mountains of information into valuable business intelligence. Continue Reading
Learn the nine steps to a comprehensive data architecture plan, including C-suite support, data personas, user needs, governance, catalogs, SWOT, lifecycles, blueprints and maps. Continue Reading
As enterprises vacate the premises and migrate their operations skyward, a cloud data architecture can provide the long-term flexibility to improve workflows, costs and security. Continue Reading
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Data architects collect the statistics and information architects put the numbers into context as they work symbiotically to bolster an enterprise's data and business strategies. Continue Reading
Data modelers and data architects have distinctly different roles, but they work in a complementary fashion to help enterprises unlock and capitalize on data's business value. Continue Reading
Like a superhighway system and its many on- and off-ramps, an enterprise's big data pipeline transports infinite amounts of collected data from its sources to its destinations. Continue Reading
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Analytics can help businesses make data-driven decisions, but common cognitive biases can skew how organizations interpret the information and CX. Continue Reading
Big data, the cloud and analytics profoundly shape data warehouse purpose and design. Learn how companies derive value from a repository that at times needs definition. Continue Reading
As the concept of storing data and the technologies needed to do it evolve, companies with set goals in mind are building their data warehouses to maximize analytics outcomes. Continue Reading
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What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases. Continue Reading
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
Consultant Dan Sullivan, author of "NoSQL for Mere Mortals," discusses some of the pertinent points for IT shops to consider before entering the new world of NoSQL databases. Continue Reading