SQL Server Diagnostic Memory Queries
Microsoft Data Platform MVP Glenn Berry demonstrates a set of eleven SQL Server Diagnostic Memory Queries that help you understand your memory usage in SQL Server.
2021-10-04
Articles
The Record That Never Existed (as a committed row)
Introduction According to the official documentation, the READ COMMITTED isolation level “specifies that statements cannot read data that has been modified but not committed by other transactions”. So, one could think that a record returned under this isolation level existed in the committed state at the time of reading. In this article, I am going […]
2021-10-01
2,108 reads
Advanced Schema Evolution using Databricks Auto Loader
This article demonstrates how to get started with using Auto Loader cloudFiles with Databricks through an end-to-end practical example of ingesting a data stream which has an evolving schema.
2021-10-01
Hype Cycle for Agile & DevOps
Get Gartner’s latest DevOps and Agile recommendations for I&O leaders.Redgate is named as a sample vendor for Continuous Compliance Automation in the 2021 Hype Cycle™ for Agile and DevOps
2021-10-01
Connect to SAP HANA Data as a Linked Server
The SQL Gateway enables you to configure a TDS (SQL Server) remoting service and set up a linked server for SAP HANA data. After you have started the service, you can use the UI in SQL Server Management Studio or call stored procedures to create the linked server. You can then work with SAP HANA data just […]
2021-09-29
4,220 reads
Powershell Day by Day: Adding Help to Scripts
This next article in the PowerShell Day by Day Series will cover adding help to your scripts.
2021-09-29
6,334 reads
Gartner® Hype CycleTM 2021
Get Gartner’s latest DevOps and Agile recommendations for I&O leaders. Redgate is named as a sample vendor for Continuous Compliance Automation in the 2021 Hype Cycle™ for Agile and DevOps.
2021-09-29
297 reads
Plotting in Python for Financial Time Series Data for Exponential Moving Averages
Learn how to plot a financial time series using SQL Server data and Python to reveal the value of exponential moving averages and make decisions about time series values.
2021-09-29
Working with the Delete Activity in Azure Data Factory
Introduction We can use the delete activity in Azure Data Factory to delete files from both on-premises and cloud storage. In this article, we will discuss the delete activity with the various options available for the file deletion. I will show the following operations with the Delete Activity: Delete files from a folder. Delete contents […]
2021-09-27
14,088 reads
SQL Server VM Best Practices
In this article we look at some of the things you should be aware of when building a VM to run SQL Server, such as vCPUs, disks, memory and more.
2021-09-27
Blogs
AI Innovation in Microsoft Keynote
By Chris Yates
I’m thrilled to be covering the Microsoft Keynote: Fuel AI Innovation with Azure Databases on Day...
Benefits of Migrating from Azure Synapse Analytics to Microsoft Fabric
By James Serra
Many customers ask me about the advantages of moving from Azure Synapse Analytics to...
PASS Summit 2024 – A Very Different World
By Brian Kelley
The last data centric conference I attended was the PASS Summit in 2019. A...
Forums
What's New for the Microsoft Data Platform
Comments posted to this topic are about the item What's New for the Microsoft...
Using Outer Joins
Comments posted to this topic are about the item Using Outer Joins
Question of the Day
Using Outer Joins
I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers