Machine learning K-Means applied to SQL Server data
This article shows how to use Python to access data in SQL Server and produce a K-Means analysis with a chart.
2024-01-08
3,263 reads
Python
SQL Server and Python Tutorial
This article will show the basic outline for how Python scripts can access and work with data in SQL Server.
2023-11-06
20,985 reads
Decision Tree - Credit Card Fraud Detection
Credit card fraud detection is an important application of machine learning techniques, including Decision Trees. The goal is to identify and detect fraudulent transactions and separate them from valid transactions to prevent financial loss and protect user accounts.
2023-10-11
2023-11-20 (first published: 2023-10-02)
3,036 reads
How Effective Is Your Data Load Monitoring in SQL and Python?
Learn how you can use monitor your data warehouse load process with Python code and a structured process.
2023-10-06 (first published: 2023-09-20)
2,033 reads
Decision Tree - Credit Card Fraud Detection
Credit card fraud detection is an important application of machine learning techniques, including Decision Trees. The goal is to identify and detect fraudulent transactions and separate them from valid transactions to prevent financial loss and protect user accounts.
2023-09-08
Screen Scraping with Python and BeautifulSoup Code Examples
BeautifulSoup (sometimes referred to as Beautiful Soup library) is one of several widely used screen scraping packages for a web page. It is highly regarded for its ease of use and power.
Screen scraping enables developers to create solutions that permit comparative analyses from all over the internet, such as web applications that look for the best price on an item from many different online stores.
2023-08-25
Python Script to generate test data
Very often there is a need to create test data manually. This script will provide a mix of names that will make more sense rather than randomly generating meaningless names.
2023-09-11 (first published: 2023-08-24)
780 reads
Unpivot Data Using Python
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
3,447 reads
How to Avoid N+1 Queries: Comprehensive Guide and Python Code Examples
This article describes the N+1 problem that we often find when developers use row by row solutions for querying related data in a database.
2023-06-21
4,893 reads
Blogs
From DBA or Data Engineer to AI Engineer: A Realistic Path
If you spend your days tuning queries, managing pipelines, or keeping a production database...
Asynchronous Replication of Snapshots from an ActiveCluster Pod to a Third Array
I’ve been rebuilding my three-site SQL Server demo lab, and I ran into something...
SQL Server gMSA: Why So Many DBAs Still Aren't Using It in 2026
By SQLPals
SQL Server gMSA: Why DBAs Still Aren't Using It in 2026 ...
Forums
In-place OS upgrade or migration to new OS?
Putting this here as we're currently on SQL Server 2019 installed on Windows Server...
Never is Not the Policy
Comments posted to this topic are about the item Never is Not the Policy
Automating SSAS Multidimensional Security Audits with PowerShell
Comments posted to this topic are about the item Automating SSAS Multidimensional Security Audits...
Question of the Day
Rebuilding All Indexes
I have added a few indexes to one of my tables in SQL Server 2025:
ALTER TABLE dbo.CustomerContact
ADD CONSTRAINT PK_CustomerContact
PRIMARY KEY (CustomerID);
-- Create index on CustomerEmail
CREATE INDEX IX_CustomerContact_CustomerEmail
ON dbo.CustomerContact (CustomerEmail);
CREATE INDEX IX_CustomerContact_CustomerEmail
ON dbo.CustomerContact (phone);
I then do this to disable one index:
alter index IX_CustomerContact_CustomerPhone on dbo.CustomerContact disableI see this when I check the index status:
I decide to rebuild all indexes with this command:
ALTER INDEX ALL ON dbo.CustomerContactAfter I do this, what will I see for the index status? See possible answers