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 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 ...

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, ...

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.

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 first one is a memory-second architecture. Basically, data is stored in the disk first and then stored in the memory second. Some issues with this architecture are data updated in memory can ...

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