New & Notable
Data warehouse software News
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.
December 01, 2017
After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.
Data warehouse software Get Started
Bring yourself up to speed with our introductory content
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
Evaluate Data warehouse software Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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
Learn to apply best practices and optimize your operations.
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
The crush of big data leads some data pros to seek more automation of data integration processes. The Pentaho software platform now offers metadata injection capabilities to help meet such needs. Continue Reading
Problem Solve Data warehouse software Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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
In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems. Continue Reading