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 lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or ...

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization. Big data is here, and it’s getting bigger by the day. With ...

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 ...

A data lake is not a direct replacement for a data warehouse; they are supplemental technologies that serve different use cases with some overlap. Most organizations that have a data lake will also ...

"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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google Cloud is making a series of announcements today, covering a range ...

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 ...