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 ...

What exactly is a data architecture? As the Zachman Framework exposed long ago, different people look for different kinds of details and documentation to answer fundamental questions about an ...

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.

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 ...

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 ...

Get an overview of JDBC's architecture, then learn how to connect to a database and handle SQL queries and responses with PreparedStatements, transactions, connection pooling, and more.

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

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, ...

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...

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