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 ...

In fact, by 2024, more than three-quarters of current data lake users will be investing in this type of hybrid “data lakehouse” architecture to enhance the value generated from their ...

Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future of ...

To gain business value from data, enterprises need to get their data architecture right – and the right business leadership and culture is critical to that.

As long as big data and cloud computing have been in play, data engineering has often faced the challenge of lock-in with costly, complex legacy systems.

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

The first step toward building a formal data strategy is to understand your organization’s universe of data. The next is to identify gaps and fill them with the right sales technology.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.