Polling and Survey Data Transparency
Polls and surveys are increasing in use. If you are a DBA, developer, or data scientist, then it is good to understand how to structure your systems for transparency and proper use.
Stairway to U-SQL Level 21: Exporting Data with Azure Data Factory
Learn how you can move data from your Data Lake to Azure SQL Database with Azure Data Factory.
Fill In Missing Dates for SQL Server Query Output
In this tip we look at how to fill gaps in dates and times for SQL Server query output when no data exists for specific dates or times.
SQL Change Automation Scripting: Getting Data into a Target Database
Your strategy for loading a freshly built database with data will depend on how much you need. If just a few rows, then single-row INSERT statements will be fine, but for more than that you'll need to build insert the rows using native-format BCP. Fortunately, SQL Change Automation (SCA) can be used with either strategy, as Phil Factor demonstrates.
Scaling SSRS Support for SQL Azure with Containers
In this article, see one of the ways in which a container can be created and used for in SSRS as the source for reports.
Working with People
One of the more important things that we can do as a professional is learn to work we well with others.
Introduction to Running SQL Server 2019 on Kubernetes
The release of SQL Server 2019 further extends the ability to host SQL Server instances on Linux, including running Docker-based SQL Server images on Kubernetes clusters. This latest release further extends the multi-platform capabilities by allowing for Kubernetes-based deployments of SQL Server Always On Availability Groups, delivering increased level of resiliency. Read on to learn more about the basic characteristics of these deployments!
The ‘= NULL’ Mistake and other SQL NULL Heresies
The SQL Prompt Best Practice rule checks whether a comparison or expression includes a NULL literal ('NULL'), which in SQL Server, rather than result in an error, will simply always produce a NULL result. Phil Factor explains how to avoid this, and other SQL NULL-related calamities.
More MVPs Than Awards
Every year, July 1 is the Microsoft MVP Renewal date and quite a few people received good news that day. I was one of those renewed for another year, and I am honored that Microsoft chose me again. I also congratulate all the others that received the award for the first time as well as […]
Querying Temporal Tables
Temporal tables a.k.a Table Versioning was introduced in SQL Server 2016 and is an easy, convenient way to track changes to data. A good introduction to temporal tables can be found here. One of the key advantages of versioning tables is easy of querying – or getting a ‘single pane of glass’ look of how […]
Blogs
A Cloud Dependency Failure from Amazon
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Forums
SPAM Issues May 2026
We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers