KQL Series – create a database in our ADX cluster
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
76 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
76 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
36 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)
212 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
51 reads
This blog pos illustrates how Azure Data Explorer and Azure Synapse Analytics complement each other for near real-time analytics and modern data warehousing use cases. This solution is already...
2022-03-31
60 reads
Azure Data Explorer is a PaaS offering from Azure providing an end-to-end solution for data exploration. https://azure.microsoft.com/en-us/blog/individually-great-collectively-unmatched-announcing-updates-to-3-great-azure-data-services/ Here is a quick introduction of the features: https://azure.microsoft.com/en-us/services/data-explorer/#features This service from...
2022-04-15 (first published: 2022-03-31)
434 reads
This blog post is about another use of KQL that will definitely help your organisation and make you very popular. First of all check out this video here which...
2022-03-31
244 reads
This blog post is about how to quickly learn KQL. Kusto supports a subset of the SQL language. See the list of SQL known issues for the full list of unsupported...
2022-03-31
1,350 reads
Basically when we are writing KQL we are asking the following questions: Does it exist? Where does it exist? Why does it exist? What shall we do with the...
2022-03-31
37 reads
In Part1 we talked about what a query is. The most common query we will write is a tabular expression statement which is what people usually have in mind...
2022-03-31
40 reads
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
By Steve Jones
It’s a small change, but a handy one. Flyway Desktop (FWD) now includes the...
By Steve Jones
Software is hard. While I love our Lucid Gravity, I realize that they are...
Comments posted to this topic are about the item Adding new column with DEFAULT...
Comments posted to this topic are about the item Advanced Deployment Scenarios: Stairway to...
Comments posted to this topic are about the item You Need a DBA Pipeline
Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers