Using Pipeline Return Value in Azure Data Factory and Azure Synapse Analytics
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
3,952 reads
ETL/SSIS/Azure Data Factory
Trigger the Execution of an ADF Pipeline from an Email
Learn how you can configure an Azure Data Factory pipeline that is triggered by an email being sent to an address.
2023-11-03 (first published: 2023-10-27)
3,750 reads
Top 10 Methods to Improve ETL Performance Using SSIS
Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.
2023-10-25
What I Wish Everyone Knew About ETL Processes - Traditional to Modern Cloud Solutions
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
GIT Configuration and Automated Release for Azure Data Factory
Learn a step-by-step method to save your ADF pipelines in Git and automatically release new changes to test and production.
2024-09-23 (first published: 2023-10-16)
2,287 reads
Sending Multiple Attachments in Email from Azure Data Factory Pipeline
This article shows how you can have your Azure Data Factory (ADF) pipeline send an email using a Logic App.
2023-09-29
2,764 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)
1,889 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
3,105 reads
Advantages of Kappa architecture in the Modern Data Stack
A comparison of the lambda and kappa architectures for real time ingestion and analysis of big data.
2023-06-19
4,750 reads
Python 3 Script for Generating SQL Insert Statements from CSV Data
This Python 3 script is designed to take CSV file data pasted into the csv_data variable and generate SQL insert statements that can be used to insert the data into a MySQL database. The script is easy to use and can save you a lot of time when working with large amounts of data.
2023-05-08 (first published: 2023-05-05)
4,683 reads
Blogs
T-SQL Tuesday #180: Good enough is perfect Roundup
This month, I prompted bloggers to discuss whether good enough is perfect. Thank you to all...
Using SQL Compare with Read-only Access
By Steve Jones
Recently a customer asked if SQL Compare and SQL Data Compare can be used...
Forums
how can i tell if our db2 driver is ms or ibm or other?
i see this in the definition of a linked server on our wh sql...
normal role member to be able to view list of other role members in his DB
Is this even possible ? Tried with grant but to no avail. [sys].[database_role_members] and...
Stairway to Snowflake Level 5 - Using Snowflake with SnowSQL and Visual Studio Code
Comments posted to this topic are about the item Stairway to Snowflake Level 5...
Question of the Day
A Strange Result
What does this code return in SSMS 20 from SQL Server 2019?
select '|' + CHAR(0)+'abc' + '|';See possible answers