Here's how you can use SQL Server's OpenJson function to dismantle JSON structures into relational tables targeting either transactional systems or data warehouses. JSON is great for moving data ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

Designing an appropriate set of indexes can be one of the more troubling aspects of developing efficient relational database applications. Perhaps, the most important thing you can do to assure ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Relational tables often describe more than one type of real world entity. In this tip, Bob Watkins covers some things to think about when designing such tables. In an earlier tip, I showed a way to ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

In addition to needing an operating system, some embedded systems will need a structure for organizing data. In this article I discuss various ways of storing and retrieving data. Where appropriate, I ...