2021-05-26 (first published: 2021-04-30)
8,390 reads
Articles
Creating Deep and Shallow Delta Clones in Azure Databricks
In this article we will look at how to create deep and shallow clones of source data when using Azure Databricks.
2021-05-26
Save the date: PASS Data Community Summit 2021
Simple Talk editor Kathi Kellenberger announces this year's free global online conference will take place on November 8 - 12. Save the date, and stay tuned for the Call for Speakers coming soon.
2021-05-26
You are cordially invited to attend 2021 Virtual Data.SQL.Saturday.LA event!
We are reaching out to all people that enjoyed SQL Saturday in LA 2017, 2018, 2019, and 2020 events to let you know that the 2021 event is fast approaching. Only 30+ days remain until the June 12 Virtual Data.SQL.Saturday.LA event. Please register soon to reserve your spot by using http://2021sqlsatla.eventbrite.com/ hyperlink, register using a form below or just use a QR code.
2021-05-26 (first published: 2021-05-05)
Dimensionality Reduction Techniques - PCA, Kernel-PCA and LDA Using Python
Summary In this article, we will be looking at some of the useful techniques on how to reduce dimensionality in our datasets. When we talk about dimensionality, we are referring to the number of columns in our dataset assuming that we are working on a tidy and a clean dataset. When we have many columns […]
2021-05-24
3,869 reads
Database DevOps: 10 Trends for 2021
What do you think the top 10 Database DevOps trends in 2021 are? Redgate has condensed 3,200 survey responses from IT professionals worldwide into a handy infographic. Discover insights such as the top challenge in improving software delivery performance and the correlation between DevOps adoption and high-performing teams.
2021-05-24
SQL Server security – Providing a security model using user-defined roles
Greg Larsen continues his series and shows how user-defined roles roles can control SQL Server security.
2021-05-24
SQL Server 2016 - Always Encrypted
Always Encrypted is a new security feature which was introduced in SQL Server 2016. Always Encrypted is a technology to ensure the data stored in a database remains encrypted at all times during SQL Server query processing. Always Encrypted allows clients to encrypt sensitive data, such as credit card numbers and national identification numbers, inside the […]
2021-05-21 (first published: 2019-09-05)
13,558 reads
Creating Idempotent DDL Scripts for Database Migrations
How to write idempotent DDL scripts that Flyway can run several times on a database, such as after a hotfix has already been applied directly to the production database, without causing errors.
2021-05-21
SQL Server plan cache mining – Plan attributes
Edward Pollack demonstrates how SQL Server plan cache mining can uncover a wealth of information to help with troubleshooting performance issues.
2021-05-21
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 does B6 Notebook mean?
B6 Notebook Size can be found in a few novels and stories. The dimensions...
Unencrypted connections in Always on Availability Group
Hi, In my Always On Availability environment, I am seeing two encrypt_option values as...
Error loading multiple CSV files in SSIS
Hi everyone I have a bunch of CSV files that I need to bulk...
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