Overview:  Not all databases are the same. Consider scalability, speed, and data type support before deciding.High-end ...

Feature bloat, or added value for this JavaScript toolkit? The Bun team has released version 1.2.21 of its JavaScript bundler and runtime, written in Zig, adding features including built-in drivers ...

In modern data processing, a data lake stores more raw data for future modeling and analysis, while a data warehouse typically applies a relational schema to the information before it’s stored.

Once you've made the decision to migrate your data storage to the cloud, you must weigh the pros and cons to ensure you're choosing the right cloud solution suitable for your organization.

The data lake is a fundamental concept of data management. But what type of storage do you need to build a data lake on and what are the pros and cons of on-prem vs the cloud?

To their credit, the remaining major relational databases used by enterprises – Oracle, IBM DB2, Microsoft SQL, and MySQL and PostgreSQL in their various guises – have done a pretty good job of ...

Some of the topics covered included Data Storage in SQL Server 2005 and now 2008 with the differences and new features we can take advantage of.

A step-by-step guide to deploying, configuring, and testing a multi-AZ, multi-region SQL Server FCI in the Azure cloud, complete with a PowerShell script that handles the networking configuration.