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 ...

Data scientists, engineers and managers having been working for the past 50 years at methodologies to gain better business insights from large stores of data. Despite advances in cloud data storage ...

Updates announced at the company’s annual MongoDB World conference this week include new analytics capabilities, a data lake for its Atlas database as a service, and the ability to query encrypted ...

The relational database was purpose-built for the cloud and is said to be able to scale out easily and cost effectively. This column is available in a weekly newsletter called IT Best Practices. Click ...

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 ...

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 ...

This article offers an overview of the nature and role of relational thinking and relational reasoning in human learning and performance, both of which pertain to the discernment of meaningful ...