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 ...

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 ...

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...

At its Cloud Data Summit, Google today announced the preview launch of BigLake, a new data lake storage engine that makes it easier for enterprises to analyze the data in their data warehouses and ...

Oracle is adding innovations to Oracle Autonomous Data Warehouse, the industry’s autonomous database powered by machine learning and optimized for analytics workloads, breaking through the proprietary ...