Configuring an SSIS ForEach Loop for Multiple File Types
The ForEach loop works with only one file type at a time by default. Learn how you can add code to your packages to work with multiple types of files.
2023-12-18
3,027 reads
The ForEach loop works with only one file type at a time by default. Learn how you can add code to your packages to work with multiple types of files.
2023-12-18
3,027 reads
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
4,409 reads
Learn how you can configure an Azure Data Factory pipeline that is triggered by an email being sent to an address.
2023-11-03 (first published: 2023-10-27)
4,099 reads
Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.
2023-10-25
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
Learn a step-by-step method to save your ADF pipelines in Git and automatically release new changes to test and production.
2024-09-23 (first published: 2023-10-16)
2,390 reads
This article shows how you can have your Azure Data Factory (ADF) pipeline send an email using a Logic App.
2023-09-29
3,044 reads
Learn how you can use monitor your data warehouse load process with Python code and a structured process.
2023-10-06 (first published: 2023-09-20)
1,935 reads
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
3,208 reads
A comparison of the lambda and kappa architectures for real time ingestion and analysis of big data.
2023-06-19
4,843 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