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 ...

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.

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.

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 ...

There is an unresolved distinction between data architecture and agile development that, based on the history of modeling vs. the history of agile, has not been fully resolved in the real world, ...

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