SQL Server Machine Learning Services – Part 6: Merging Data Frames in Python
In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.
Stairway to U-SQL Level 20: Querying External Data with U-SQL
Did you know you can query SQL Server data with U-SQL? It's true! Find out how in this latest stairway step.
SET IMPLICIT_TRANSACTIONS ON Is One Hell of a Bad Idea
By default, when you run a query in SQL Server, your delete/update/insert (DUI) is finished as soon as your query finishes. That’s because the default behavior of SQL Server is IMPLICIT_TRANSACTIONS OFF – meaning, SQL Server doesn’t hold your queries open waiting for a COMMIT or ROLLBACK.
AI in Industries
It is important to showcase how Artificial Intelligence is being used in various fields and industries with some facts
Changing Data Types on Large Tables: The INT to BIGINT Conundrum
Changing a data type seems like a simple task unless the table is quite large and downtime must be kept to a minimum. Danny Kruge walks you through the process he created to change an INT to a BIGINT in a large table.
Intervals Part 1 - Definitions and Terms
Learn the basic terms and definitions for intervals in SQL Server.
Troublesome Names
Building a name-and-address database sounds a disarmingly simple task, but if your name happens to be D'Arcy Join, then you probably know, from painful experience, that most programmers don't get it right.
Non-Standard Delimiters for Columns and Rows Using SQL Server Bulk Insert
In this tip, Tim Smith looks at how to use bulk insert to load data into SQL Server when the column and row terminators are not what you typically see.
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...
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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