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 ...

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 ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The proliferation of data arrived unexpectedly. Businesses were used to handling some volume ...

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 ...

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 ...

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, ...

Data lakehouses, a new kind of data store that combines the flexibility of data lakes with the structure and performance of data warehouses, are on track to co-opt data warehouses although they will ...

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 ...