Empowering Lakehouse Users – Data Engineering with Fabric
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,828 reads
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,828 reads
In this article, we look at how to read data stored in a lake database using Azure Synapse Analytics to help reduce overall Azure costs.
2024-05-13
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
2024-05-01
5,074 reads
Learn how to perform full and incremental loads in Fabric with a little SparkSQL.
2024-04-17
6,632 reads
Andy Leonard discusses and demonstrates using Fabric Data Factory to load a CSV file stored in Azure Blob Storage to Azure SQL DB.
2024-04-03
Database Mirroring comes back to SQL, at least to Azure SQL Database with Fabric as the destination. Read a few of Steve's thoughts on this feature.
2024-03-30
476 reads
In this article, learn how you can manage files and folders for both full and incremental loading situations.
2024-03-27
3,729 reads
Learn about Eventstream in Microsoft Fabric to ingest, transform, and route real-time data to certain destinations in a low-to-no-code SaaS fashion.
2024-03-27
I recently asked myself, “Self, is it possible to apply framework functionality to Fabric Data Factory?” I decided to investigate.
2024-03-25
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
4,816 reads
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