Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

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 data ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

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. JDBC (Java ...

As AI adoption continues to accelerate and the data demands of businesses grow ever larger and more complex, building a strong data foundation that can power all of the use cases on the minds of ...

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 ...

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, ...

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. Leaders must design data ecosystems that ...

NetApp CEO George Kurian explains how a data-first architecture is the key to delivering AI outcomes that are both scalable ...