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Data warehouse software News
March 29, 2019
Google Cloud wants to tap Teradata and Netezza's installed base with a new migration service for BigQuery. It may appeal most to new or smaller deployments.
January 22, 2019
Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A.
August 29, 2018
Talend released software that does bulk data uploads to Microsoft's Azure SQL Data Warehouse. The goal is to streamline data integration and support real-time analytics.
July 27, 2018
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
Data warehouse software Get Started
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A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... Continue Reading
SAP Business Warehouse (BW) is a model-driven data warehousing product based on the SAP NetWeaver ABAP platform. Continue Reading
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Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration. Continue Reading
The Gen2 version of Azure SQL Data Warehouse gives Microsoft's cloud data warehouse a shot in the arm on performance, making it more competitive with rival technologies. Continue Reading
There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading
Manage Data warehouse software
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Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in. Continue Reading
Mapping data to a graph model can be challenging, but these steps can help you create prototype applications -- which then can aid in evaluating graph databases. Continue Reading
Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics. Continue Reading
Problem Solve Data warehouse software Issues
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Data ownership is still seen as a task for IT -- but that can lead to data silos full of redundant information. Find out why you should put the business in charge of its data. 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
Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading