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
661 reads
In this script we will leverage the capabilities of Amazon Bedrock's Generative AI service to author SQL statements.
2024-02-03
661 reads
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
3,302 reads
This article will show the basic outline for how Python scripts can access and work with data in SQL Server.
2023-11-06
21,316 reads
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)
3,073 reads
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)
2,050 reads
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
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
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)
793 reads
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
3,482 reads
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
By Steve Jones
It’s a small change, but a handy one. Flyway Desktop (FWD) now includes the...
By Steve Jones
Software is hard. While I love our Lucid Gravity, I realize that they are...
Comments posted to this topic are about the item Adding new column with DEFAULT...
Comments posted to this topic are about the item Advanced Deployment Scenarios: Stairway to...
Comments posted to this topic are about the item You Need a DBA Pipeline
Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers