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Data modeling tools and techniques News
November 30, 2021
The service enables users to build machine learning models and generate accurate predictions without writing code. It supports both on-premises and cloud deployments.
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.
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Data modeling is the process of creating a simplified diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Continue Reading
A cellular automaton (CA) is a collection of cells arranged in a grid of specified shape, such that each cell changes state as a function of time, according to a defined set of rules driven by the states of neighboring cells. Continue Reading
When considering a career as a data architect, learn about the required skills and education, plus job responsibilities, salary ranges and typical interview questions and answers. Continue Reading
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Data architecture is a discipline that documents an organization's data assets, maps how data flows through its systems and provides a blueprint for managing data. Continue Reading
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
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While conventional data warehouses may struggle to keep up with growing volumes of data, these five elements best give the ability to tap into valuable BI. 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
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
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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