Running Mistral AI model on AWS Bedrock using Python
Mistral 7B is the first foundation model from Mistral AI, supporting English text generation tasks with natural coding capabilities.
2024-04-03 (first published: 2024-03-21)
419 reads
Python
Python script to dynamically query any database using bedrock generative ai
Any user who has a backend in AWS can leverage python to query the database and generate insights on the data by leveraging bedrock and langchain library
2024-03-21
1,040 reads
Managed Vs Unmanaged Tables – Data Engineering with Fabric
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
4,766 reads
Python script to write SQL using Amazon Bedrock Generative AI
In this script we will leverage the capabilities of Amazon Bedrock's Generative AI service to author SQL statements.
2024-02-03
627 reads
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
3,172 reads
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
19,480 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)
2,980 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)
2,014 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
Blogs
Rolling Back a Broken Release
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
A bespoke reporting solution doesn’t have to cost the earth
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
Presenting with Visual Studio Code
A while back I wrote a quick post on setting up key mappings in...
Forums
Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Creating JSON III
Comments posted to this topic are about the item Creating JSON III
Testing is Becoming More Important
Comments posted to this topic are about the item Testing is Becoming More Important
Question of the Day
Creating JSON III
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers