Data warehouses may seem like a trip down memory lane, or just a clunky data store. But if we look closely at data warehouse projects, the goals - and results - remain relevant. Most clients I speak ...

Choosing the right data management solution comes with a long list of considerations for district IT teams, including where to start. Banks, co-host of the Packet Pushers Podcast, has been managing ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

As the saying goes, you can’t manage what you don’t measure. In a data-driven organization, the best tools for measuring the performance are business intelligence (BI) and analytics engines, which ...

ETL software maker Fivetran this week released results of a benchmark test it ran comparing the cost and performance of five cloud data warehouses, including BigQuery, Databricks, Redshift, Snowflake, ...

The data warehouse architecture and the data lake design pattern have converged to form a new, richer data architecture, a new report says, and both have already gone mainstream in the cloud.

Traditionally, data warehouses have had a one-way relationship with the transaction systems that supply the raw data. However, with the advent of SOA, the data warehouse and the transaction systems ...

Opinions expressed by Entrepreneur contributors are their own. The cloud data warehouse is a game changer for modern businesses — it’s a tool that companies use to keep up with emerging trends and ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Data warehouse software is essential for companies looking to streamline their data centers or implement business intelligence software. Business intelligence software stores and analyzes huge volumes ...