Data Flow Formatters - Flatten, Parse and Stringify in Azure Data Factory
This article discusses the data flow formatters, Flatten, Parse, and Stringify, which can be useful when dealing with JSON data.
2022-08-12
16,974 reads
This article discusses the data flow formatters, Flatten, Parse, and Stringify, which can be useful when dealing with JSON data.
2022-08-12
16,974 reads
Learn about how you can monitor your Azure Storage account and set alerts to let you know when to take action.
2022-07-08
2,780 reads
This article covers how you can give access with a shared key to Azure Storage Accounts and apply a policy for how users can access the files.
2022-06-15
8,552 reads
Learn about using the Script activity in Azure Data Factory to run DDL or DML statements.
2022-05-13
19,580 reads
Learn about using Mapping Data Flows in Azure Data Factory.
2022-04-25
9,657 reads
Learn how you can re-use parts of your pipeline in Azure Data Factory. Save off some tasks as a flowlet for use in multiple pipelines.
2024-02-19 (first published: 2022-04-15)
7,473 reads
Learn how Azure Data Factory charges you for use and how to estimate what your charges would be based on a few examples.
2022-04-04
25,857 reads
Learn how to protect production resources from accidental changes in Azure Data Factory.
2022-03-16
1,465 reads
Introduction Azure Synapse Analytics is an enterprise analytics service that brings together popular data warehouse technologies and big data systems together. It provides SQL for enterprise data warehousing, Spark technologies for big data, Data explorer for analytics, Pipeline for data integration and ETL and ELT, and other popular Azure services including Power BI, CosmosDB, and […]
2022-03-11
1,420 reads
Azure SQL Database has been around for over ten years and is constantly evolving with new capabilities and options. Dennes Torres explains 8 features and best practices of Azure SQL Database.
2022-03-02
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers