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.
2024-10-24 (first published: 2024-07-03)
617 reads
Sucharita Das
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.
2024-10-24 (first published: 2024-08-14)
661 reads
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 […]
2024-10-24 (first published: 2024-09-18)
587 reads
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
Using Machine Learning Pipeline Execution Activity in Azure Data Factory
This article shows how one can run a machine learning activity in an Azure Data Factory (ADF) pipeline.
2024-05-13
938 reads
Ingest and Retrieve data from an ADX Cluster Using Python
Learn how to query data in Azure Data Explorer using Python.
2024-05-06
954 reads
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)
3,749 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
2,763 reads
Incremental Data loading through ADF using Change Tracking
Learn how you can use Change Tracking to incrementally load data with Azure Data Factory
2022-04-18 (first published: 2020-10-13)
15,704 reads
2021-11-08
4,998 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