8 Ways to Export SQL Results To a Text File
This tip will show eight ways to export the results of a query to a text file.
Why Don't You Unit Test Code?
This Friday Steve Jones wants to know what you think of testing code and why you don't do it.
SQL Server Integration Services SSIS 2016 Tutorial
SQL Server Integration Services (SSIS) is the integration and ETL (extract – transform – load) tool in the Microsoft Data Platform stack. SSIS is typically used in data warehousing scenarios, but can also be used in common data integration use cases or just to move data around. SSIS is used behind the scenes in the Maintenance Plans of SQL Server and in the Import/Export wizard.
Teaching Quickly
Steve Jones talks about learning, teaching, and the need to not waste anyone's time.
The Basics of Good T-SQL Coding Style – Part 4: Performance
There are several obvious problems with poor SQL Coding habits. It can make code difficult to maintain, or can confuse your team colleagues. It can make refactoring a chore or make testing difficult. The most serious problem is poor performance. You can write SQL that looks beautiful but performs sluggishly, or interferes with other threads. A busy database developer adopts good habits so as to avoid staring at execution plans. Rob Sheldon gives some examples.
Rewrite Your Code Tomorrow
Steve Jones notes that we often solve problems better the second time around.
Understanding Azure Data Factory – A Cloud Based Integration Service
Azure Data Factory is a cloud based data integration service. This helps you to define, schedule and manage data pipelines to transfer and transform the data from disparate on premise and cloud data sources. Read on to learn more.
Azure DWH part 17: ADF:Import Data from SQL Server on-premises to ASDW
In this article we will learn to use Data Factory to import table from SQL Server to Azure SQL Data Warehouse.
Data in Motion and Data at Rest
Microsoft (StreamInsight), and Azure Stream Analytics represent a very different model for processing data. They are concerned with processing complex event streams of data (CEPs) from such things as sensors to deduce significant patterns and apply filters. Joe Celko discusses the background to an intriguing technology of complex event processing to establish the difference between data at rest, and data on the move.
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;
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