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

Data warehouse architectural design Types of data models and dimensions Best practices for implementing and managing enterprise data warehouse in 2022 What is a data warehouse?

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

Experts joined DBTA's webinar, Top Trends in Modern Data Architecture for 2024, to examine how the evolving world of data architecture can be harnessed to successfully meet growing demands amid a ...

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 ...

Georgi Gospodinov, one of Walmart's lead data scientists, explains why you can’t have complete data fusion without the right data architecture, and why building in privacy is key to success.

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

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 flexibility of data lakes, combined with the variety and vast amount of their stored data, makes them ideal for advanced analytics.