2021-07-16
445 reads
2021-07-16
445 reads
A frustrating time importing CSV files leads Steve to test the different options.
2021-07-14
16,225 reads
2021-07-09
413 reads
Unlike an on premises SQL Server, Integration Services (SSIS) works very differently on Azure. If there are requirements to run our existing SSIS packages on Azure, then we need to understand our options. In this article we will talk about our options for migrating SSIS to Azure and what components are required to migrate SSIS packages. […]
2021-04-05 (first published: 2021-03-22)
9,132 reads
Azure Data Factory (ADF) is a cloud based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. Azure Data Factory does not store any data itself. but it allows you to create data-driven workflows to orchestrate the movement of data between supported […]
2021-03-01
11,278 reads
In this part of the tip, we'll show you how to simulate a merge conflict when using Git for an Integration Services project.
2021-01-13
Getting informative error messages when something goes wrong with an SSIS package is critical, especially if you are not in front of your computer.
2020-11-25
6,999 reads
This post will describe how you use a CASE statement in Azure Data Factory (ADF). If you are coming from SSIS background, you know a piece of SQL statement will do the task. However let's see how do it in SSIS and the very same thing can be achieved in ADF. Problem statement For my […]
2020-11-12
22,026 reads
Introduction In my last article, Loading data in Azure Synapse Analytics using Azure Data Factory, I discussed the step-by-step process for loading data from an Azure storage account to Azure Synapse SQL through Azure Data Factory (ADF). ADF basics are covered in that article. In this article I will go through the process for the incremental […]
2020-09-24
44,891 reads
In this article, learn how to use Azure Data Factory with a REST API to download files.
2020-09-07
15,044 reads
By Kevin3NF
Common Reasons for Emergency SQL calls If you are a production DBA (or Accidental...
By Steve Jones
I grabbed this book over the 2024 holiday season as it was on sale...
By Steve Jones
Investing small amounts of money over a long time works miracles, but no one...
Comments posted to this topic are about the item What is time?
Hello experts, The following SQL update is failing to install on some of our...
where to find information about xE sqlserver.databases_bulk_copy_throughput ? I'm searching for de description of...
Consider the following script for a Sql Server database with Compatibility Level at least 130 (Sql Server 2016):
create table tjson ( id int primary key, j1 varchar(max), j2 varchar(max), j3 varchar(max)); insert into tjson (id, j1, j2, j3) values (1, '[{"c11":"value11A", "c12":"value12A"},{"c11":"value11B", "c12":"value12B"}]', '[{"c21":"value21A", "c22":"value22A"},{"c21":"value21B", "c22":"value22B"}]', '[{"c31":"value31A", "c32":"value32A"},{"c31":"value31B", "c32":"value32B"}]');How many rows does the Query Optimizer estimate for the following query?
select id, c1.c11, c2.c21, c2.c22, c3.c31, c3.c32 from tjson cross apply openjson(j1) with( c11 varchar(50) '$.c11', c12 varchar(50) '$.c12') c1 cross apply openjson(j2) with( c21 varchar(50) '$.c21', c22 varchar(50) '$.c22') c2 cross apply openjson(j3) with( c31 varchar(50) '$.c31', c32 varchar(50) '$.c32') c3;See possible answers