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 ...

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 ...

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 ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

"It's a false assumption that you need to choose between a [data lake] and [data warehouse]," Grab analytics lead data scientist Zulfikar Lazuardi said. Speaking as part of the virtual 2021 Databricks ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

Your data is the most valuable commodity your company has, and at this very moment, thieves are plotting to steal it from you. The rise of cloud storage means businesses can access files and documents ...

Data migration vs data integration: What’s the difference? Your email has been sent As much as data migration and data integration are understood as interchangeable, the two data strategies play very ...

In your quest to build the best data architecture for your organization’s current and future needs, you have many options. Thanks to the mailability of software, those options are nearly infinite. But ...