I have a ADF Web activity from which I'm getting metadata as an output. I want to copy this metadata into Azure Postgres DB. How to use the Web activity output as an source to the next copy activity?
Accoding to this answer. I think we can use two Web activities to store
the output of your first Web activity.
Use #activity('Web1').output.Response expression at second web activity to save the output as a blob to the container. Then we can use Copy activity to copy this blob into Azure Postgres DB.
Since I do not have permission to set role permissions, I did not test this. I think this solution is feasible.
Related
I am moving from SSIS to Azure.
we have 100's of files and MSSQL tables that we want to push into a Gen2 data lake
using 3 zones then SQL Data Lake
Zones being Raw, Staging & Presentation (Change names as you wish)
What is the best process to automate this as much as possible
for example build a table with files / folders / tables to bring into Raw zone
then have Synapse bring these objects either full or incremental load
then process the them into the next 2 zones I guess more custom code as we progress.
Your requirement can be accomplished using multiple activities in Azure Data Factory.
To migrate SSIS packages, you need to use SSIS Integrated Runtime (IR). ADF supports SSIS Integration which can be configured by creating a new SSIS Integration runtime. To create the same, click on the Configure SSIS Integration, provide the basic details and create a new runtime.
Refer below image to create new SSIS IR.
Refer this third-party tutorial by SQLShack to Move local SSIS packages to Azure Data Factory.
Now, to copy the data to different zones using copy activity. You can make as much copy of your data as your requirement using copy activity. Refer Copy data between Azure data stores using Azure Data Factory.
ADF also supports Incrementally load data using Change Data Capture (CDC).
Note: Both Azure SQL MI and SQL Server support the Change Data Capture technology.
Tumbling window trigger and CDC window parameters need to be configured to make the incremental load automated. Check this official tutorial.
The last part:
then process them into the next 2 zones
This you need to manage programmatically as there is no such feature available in ADF which can update the other copies of the data based on CDC. You need to either create a separate CDC for those zones or do it logically.
I would like to copy my files from one container to another container using ADF pipeline and while copying i have to changes of Access tier from Hot tier to archive tier.
I have to achieve this using ADF pipeline. Help me a way with out using custom activity would be great.
I don't see a direct property in any activity to achieve this, you can try one of the methods from below.
Using Web activity in Azure Data Factory and Azure Synapse Analytics
Copy Blob where, x-ms-access-tier Specifies the tier to be set on the target blob.
If after the CopyActivity, use Set Blob Tier, x-ms-access-tier Indicates the tier to be set on the blob
Of course you would have to use parameters to make this dynamically executable for multiple files involved.
I read a few threads on this but noticed most are outdated, with excel becoming an integration in 2020.
I have a few excel files stored in Drobox, I would like to automate the extraction of that data into azure data factory, perform some ETL functions with data coming from other sources, and finally push the final, complete table to Azure SQL.
I would like to ask what is the most efficient way of doing so?
Would it be on the basis of automating a logic app to extract the xlsx files into Azure Blob, use data factory for ETL, join with other SQL tables, and finally push the final table to Azure SQL?
Appreciate it!
Before using Logic app to extract excel file Know Issues and Limitations with respect to excel connectors.
If you are importing large files using logic app depending on size of files you are importing consider this thread once - logic apps vs azure functions for large files
Just to summarize approach, I have mentioned below steps:
Step1: Use Azure Logic app to upload excel files from Dropbox to blob storage
Step2: Create data factory pipeline with copy data activity
Step3: Use blob storage service as a source dataset.
Step4: Create SQL database with required schema.
Step5: Do schema mapping
Step6: Finally Use SQL database table as sink
I am working on a migration project where the source data resides in 4 different ADLS Gen 2 account and needs to be migrated to some other data lake.
For this, I have created 4 LinkedService to connect to these source Gen 2 account.
Now I want to pass LinkedService name to DataFlow at run time depending on the data source I want to run data flow for, to connect to respective ADLS Gen2 account.
I am able to pass other parameter from pipeline to dataflow. But passing LinkedService name is not working.
I'm afraid to say it's not supported.
Data Factory doesn't support pass parameter(pipeline parameter or Data Flow parameter) to linked service. Like you said, We can't pass parameter from Data Flow to linked service.
HTH.
how to schedule a Query in Azure Synapse On-demand and save the result to a azure storage every 1 hour
my idea is to materialize the results into a separate storage and use PowerBI to access the results
Besides the fact that PowerBI can directly access your Synapse instance, if you want to go this route you have several options:
This can be done using a pipeline in the new Synapse Workspace. You should be aware that this technology is still in preview.
Use Polybase and Stored Procedures on a Job Scheduler to INSERT to a Blob Storage location. There is a lot of configuration in this option.
At present, I would recommend Azure Data Factory (ADF) on a Schedule Trigger. This is the simplest and most reliable of the current options. Based on the scenario you described, a single Copy activity could easily perform this task.