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 lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

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 ...

Every college and university has data storage needs, and student records are just the beginning. IT systems demand storage as well: Internet logs, security events, building systems, security cameras ...

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 ...

The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

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 ...

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

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 ...

Data warehouses have been at the center of data analytics systems as far back as the 1980s. Today cloud-based data warehouse services offered by the likes of AWS, Snowflake and Google Cloud have ...