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Data warehouse software News
September 25, 2019
Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
August 20, 2019
Data Warehouse, Evergage's new BI analytics product, is designed to collect and analyze customer data in an effort to provide more information and analysis to business analysts.
June 05, 2019
AtScale 2019.1 comes with many new capabilities, including extended database support, increased security and advanced analytical query capabilities.
May 01, 2019
Frank Slootman, who led ServiceNow and Data Domain through successful IPOs, is the new chairman and CEO of cloud data warehouse vendor Snowflake, replacing former CEO Bob Muglia.
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Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make... Continue Reading
A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Continue Reading
A data mart is a repository of data that is designed to serve a particular community of knowledge workers. Continue Reading
Evaluate Data warehouse software Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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
IT expert Chris Foot evaluates the leading cloud databases from AWS, Google, Microsoft and Oracle based on their product offerings and migration capabilities. Continue Reading
Organizations have long struggled with inconsistent data and other issues. Expert Andy Hayler explores how that has led to the rise of the data preparation tools market. 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