A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

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.

The three-level DBMS architecture makes database design more secure, extensible and accessible for client applications. Learn the basics of how it works, with examples.

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works.

The Future of Open: What's Next in Lakehouse Architecture As AI adoption continues to accelerate and the data demands of businesses grow ever larger and more complex, building a strong data foundation ...

The Importance of Data Architecture With robust data architecture in place, everyone in your organization gets access to relevant data, based on which they can make informed decisions. Data ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs.

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 ...

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