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 ...

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 ...

Men work at a distribution station in the 855,000-square-foot Amazon fulfillment center in New York City, (Photo by Johannes EISELE / AFP) (Photo credit should read JOHANNES EISELE/AFP via Getty ...

Italy has set tough terms on personal data protection to clear Chinese e-commerce giant JD.com's takeover of German ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...