Is your organization—and your data team—ready to embrace an AI-augmented future?

Jumping Air Gaps

by Steve Jones

SQLServerCentral

Security

There are all sorts of viruses, worms, and malware out in the world, and some of us have had to deal with them at different points in our career. SQL Slammer was particularly memorable for me, but there were plenty of non data related virus issues I've had to work on at various employers. To […]

Monitoring - Level 6 of the Stairway to SQL Server on Linux

by Danilo Dominici

SQLServerCentral

In this level of the Stairway to Linux, learn how to use the TIG stack to monitor your SQL Server instance on Linux.

How Many Databases Can You Name?

by Additional Articles

Database Journal

How many different database applications exist? Many people can name the most common ones such as MySQL, Microsoft SQL Server, and Oracle. Most good DBAs and programmers could likely rattle off a dozen different databases is you asked them to.

Adding a Database with Polybase External Tables to Always On Availability Group

by Ramya Makam

SQLServerCentral

Learn how to ensure your PolyBase objects are accessible from all nodes in an Availability Group.

Enriching Your Life

by Steve Jones

SQLServerCentral

Career Growth

As I was looking to build career goals for the new year, I think mostly about technical topics. That makes sense, given my focus and job, but I ran across an interesting thread on Hacker News that asked about skills to work on in 2020, and not necessarily technical ones. I did find it interesting […]

Implementing a Data Quality Monitoring Framework

by Additional Articles

SimpleTalk

For any Business Intelligence solution to be useful for analytical and decision-making purposes, it is imperative that the underlying data quality is good so, that reports generated are reliable to make business decisions. This article from Imran Quadri Syed walks the through steps involved to implement a successful Data Quality Monitoring framework that would validate incoming data against predefined data quality rules and capture data quality metrics.