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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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Relational databases and graph databases both focus on the relationships between data but not in the same ways. Here are some key differences between the two. Continue Reading
Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results. Continue Reading
Analytics can help businesses make data-driven decisions, but common cognitive biases can skew how organizations interpret the information and CX. Continue Reading
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Data marts and data warehouses are both important in the decision-making process. Here are the biggest differences between the two repositories and why they each matter. Continue Reading
The Unified Star Schema is a revolution in data warehouse schema design. Learn the benefits of this new architecture and read an excerpt from a new book about it. Continue Reading
Graph databases establish many unique relationships between data points. These unusual relationships are beneficial in many use cases, but here are the top three. Continue Reading
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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
The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. 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