The Power of Community in Times of Uncertainty

The last two weeks have brought a (seemingly) daily deluge of difficult news in the tech sector. Microsoft, Google, Facebook, and Amazon have all had significant layoffs with many friends in the #SQLFamily and data community being impacted. In times of uncertainty and heightened anxiety, it’s essential to have a group you can turn to […]

SQL Server point in time recovery

In this article, we look at how to do a point in time restore using TSQL and SSMS to recover a database to a particular point in time.

Verifying Trees

In this article, Glen Cooper provides code that allows you to process a tree, or undirected graph of data. Lots of hierarchies fall into this category and the ability to process them is valuable in many reporting situations.

Dealing with the Bits of a Binary Value in SQL Server

In this article, I want to talk about a topic that you may never need. The only time I have really had need to look at the bits in a byte pattern. In (what is now) ancient versions of SQL Server didn't have such self-describing columns like in its metadata objects like it does now.

Technical Considerations for Data Ingestion - Part 2

In part 2, we discuss the concepts of structure, tooling, and indexing for your data ingestion pipelines.

How to work with web information, maps, and images in Power BI

In this article, you will learn how you can add the map and image visuals to your Power BI report and have them update as you select different data values.

How to Find Missing Rows in a Table

When someone says, “Find all the rows that have been deleted,” it’s a lot easier when the table has an Id/Identity column. Let’s take the Stack Overflow Users table:

Bucket Sort Algorithm in Python to Sort a List of Array Values

Learn about how to implement a simple bucket sort algorithm using Python code to sort a list of array values.

The ANSI PADDING Table

Database Sharding to help Improve Performance and Maintenance Tasks

In this article, we will review the benefits and drawbacks of using database partitioning (sharding) to help improve performance and maintenance tasks.