Databases for Executives
Data and databases are critical in today's world. Executives should understand that, and Steve has something you can pass along.
Leveraging SQL Transaction Control in Python Applications
Explore the fundamentals of Python's SQL transaction control, demonstrating how to control and enhance database operations for improved data integrity. The best practices and real-world examples for integrating strong transaction management in Python applications are covered in this article.
Microsoft at the PASS Data Community Summit 2024
Learn about the Microsoft sessions at the 2024 PASS Data Community Summit from Bob Ward.
Audit SQL Server Extended Stored Procedures Usage
In this article, we look at how to audit and monitor the use of SQL Server extended stored procedures in your database instance.
Knowing Your Total Reward
When you agree to work for a company, you should understand all your compensation.
Returning 0's in a SUM (SQL Spackle)
Learn how you can sum data by hour and by day while showing 0 values in your result sets for those time periods without a sum in this short article by Patrick Cahill.
Using a Service Account in Microsoft Fabric
Applications should never depend on user accounts for their own authentication. User accounts have unique security configurations, such as MFA and password expiration.
Level 1 of the Stairway to Synapse Analytics - Create a Synapse Workspace
In this first level of the Stairway to Synapse Analytics, we learn how to set up a new workspace and add data files.
Level 2 of the Stairway to Synapse Analytics: Analyze Data in Storage Account using the Serverless SQL pool
In this second level of the Stairway to Synapse, we learn how to create external tables and query data that is stored in our data storage using the serverless pool.
Level 3 of the Stairway to Synapse Analytics: Analyze Data Using a Spark Pool
Introduction In Level 1 of this series, I discussed Synapse Analytics basics and the steps for creation of the Synapse Workspace. In Level 2, data analysis was done on Data Lake files using Serverless SQL Pool. In Level 3, I will analyze data from the files uploaded in Data Lake container using a Spark Pool. I will […]
Blogs
AI Step 1
By Vinay Thakur
As this is an Artificial Intelligence (AI) World, things are changing. We can see that...
Beginner’s Guide: Building a Dockerized Todo App with React, Chakra UI, and Rust for Backend
In a containerized app, React and Chakra UI provide a robust and accessible user...
A New Word: Nachlophobia
By Steve Jones
nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...
Forums
Call dynamic sql storedprocedure from SSIS execute sql task
hi, I have a table called Rules Create table Rules ( Id int ,...
Migrating database with many orphan users.
I am currently upgrading a very old database running SQL Server 2008 to SQL...
Active and Active Cluster
Hi Team, I am planning to apply security updates for SQL Server 2016 on...
Question of the Day
The Funny SELECTs
What is returned from this query?
SELECT
( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate > '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2000
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate > '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2001
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate > '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2002; See possible answers