In this world of so-called digital transformation and cloud computing that drives our always-on über-connected lifestyles, surely it would be useful to understand how many types of data are out ...

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

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 ...

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.

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 ...

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 ...

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 ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.