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Data warehouse software News
August 26, 2020
The cloud data warehouse services vendor files for an IPO as it looks to build out and expand its data portfolio to help organizations manage and analyze data assets.
June 02, 2020
Snowflake is building out its platform with new integrations to enable users to more easily connect to different data sources, including Salesforce Einstein Analytics.
February 25, 2020
Databricks Ingest entered a public preview in a move by Databricks to enable a lakehouse that combines the best features of the data lake and data warehouse models.
February 11, 2020
Snowflake is looking to grow its data warehouse platform with new funding and a partnership with Salesforce that could differentiate its platform from rivals.
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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
Extract, Load, Transform (ELT) is a data integration process for transferring raw data from a source server to a data system (such as a data warehouse or data lake) on a target server and then preparing the information for downstream uses. Continue Reading
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. Continue Reading
Evaluate Data warehouse software Vendors & Products
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There's still a place for data warehouses in data architectures. But first, ask whether your organization needs one and what type of technology platform is the best fit. 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
Top NoSQL database MongoDB, once thought of as a revolution in data management, has come back to Earth some, but it still has a chance to stay ahead of competitors. Continue Reading
Manage Data warehouse software
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On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a big data environment. Continue Reading
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
Problem Solve Data warehouse software Issues
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Data management is often still seen as an IT task, but that can lead to data silos. Find out why the business should be in charge of its data as part of a governance process. 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