ETL/SSIS/Azure Data Factory

SQLServerCentral Article

Migrating SSIS packages to Azure - Lift and Shift using Azure Data Factory

  • Article

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. […]

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2021-04-05 (first published: )

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SQLServerCentral Article

Microsoft Azure ADF - Dynamic Pipelines

  • Article

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 […]

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2021-03-01

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SQLServerCentral Article

How to simulate Case statement in Azure Data Factory (ADF) compared with SSIS?

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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 […]

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2020-11-12

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SQLServerCentral Article

Incremental Data Loading using Azure Data Factory

  • Article

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 […]

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2020-09-24

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Question of the Day

Rows estimation with OPENJSON

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