KQL Series – ingesting data into Azure Data Explorer using csv files
In my previous blog post KQL Series – ingesting data using Azure Stream Analytics I talked about one of the more easier ways to ingest data – which is via...
2023-03-19
163 reads
In my previous blog post KQL Series – ingesting data using Azure Stream Analytics I talked about one of the more easier ways to ingest data – which is via...
2023-03-19
163 reads
This blog post is about another method of ingesting data into Azure Data Explorer. Azure Stream Analytics is a cloud-based stream processing service that allows us to ingest and...
2023-03-19
29 reads
Background: Azure Data Explorer is a powerful analytics service that allows us to quickly ingest, store, and analyze large volumes of data from various sources. Azure Data Factory is...
2023-03-27 (first published: 2023-03-19)
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In this blog post let us stop for a second and see where we are in this whole create an Azure Data Explorer cluster and ingest data.High level summary...
2023-03-19
28 reads
In the previous blog post we created a database in our Azure Data Explorer (ADX) cluster. In this blog post we will discuss how we can ingest data into that database...
2023-03-19
57 reads
This blog post is based on my personal experience running an Azure Data Explorer (ADX) cluster. I was doing a presentation for Data Platform Summit in India, I spun...
2022-04-11 (first published: 2022-03-31)
139 reads
In the previous blog post we created an Azure Data Explorer (ADX) cluster. In this blog post we will create a database that we will ingest data into, as...
2022-03-31
64 reads
I have written a lot about the magic of KQL and the brilliance of Azure Data Explorer. Now we should create a cluster of our own that hosts Azure...
2022-03-31
18 reads
This blog is about how we can do interactive analytics with Azure Data Explorer to explore data with ad hoc, interactive, and lightning fast queries over small to extremely...
2022-05-27 (first published: 2022-03-31)
193 reads
This blog post demonstrates a hybrid end-to-end monitoring solution integrated with Microsoft Sentinel and Azure Monitor for ingesting streamed and batched logs from diverse sources, on-premises, or any cloud,...
2022-03-31
39 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...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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