I am trying to schedule a U SQL job. Please let me know whether I can schedule the U SQL job.If so,how can I schedule.
Thanks,
Vinoth
To my mind, the best way to orchestrate your U-SQL job along with concomitant data management such as getting source data, pushing output data and etc is Azure Data Factory V2. ADF has reach API. Basically, you can run your jobs using either PowerShell or C# or a trigger.
See my very simple example of the job and how to add a trigger below. In this example, I process the documents with my U-SQL job and then push output file (CSV or Avro file) into Azure SQL Server
You could use Azure Automation (with the help of the Azure Data Lake Analytics Cmdlets) or Azure Data Factory to schedule a U-SQL script in the cloud.
You can get some guidance regarding creating a ADF Pipeline here:
https://azure.microsoft.com/en-us/documentation/articles/data-factory-build-your-first-pipeline-using-editor/
Related
I have the following ETL requirements for Snowflake on Azure and would like to implement the simplest possible solution because of timeline and technology constraints.
Requirements :
Load CSV data (only a few MBs) from Azure Blob Storage into Snowflake Warehouse daily into a staging table.
Transform the loaded data above within Snowflake itself where transformation is limited to just a few joins and aggregations to obtain a few measures. And finally, park this data into our final tables in a Datamart within the same Snowflake DB.
Lastly, automate the above pipeline using a schedule OR using an event based trigger (i.e. steps to kick in as soon as file lands in Blob Store).
Constraints :
We cannot use use Azure Data Factory to achieve this simplest design.
We cannot use Azure Functions to deploy Python Transformation scripts and schedule them either.
And, I found that Transformation using Snowflake SQL is a limited feature where it only allows certain things as part of COPY INTO command but does not support JOINS and GROUP BY. Furthermore, although the following THREAD suggests that scheduling SQL is possible, but that doesn't address my Transformation requirement.
Regards,
Roy
Attaching the following Idea diagram for more clarity.
https://community.snowflake.com/s/question/0D50Z00009Z3O7hSAF/how-to-schedule-jobs-from-azure-cloud-for-loading-data-from-blobscheduling-snowflake-scripts-since-dont-have-cost-for-etl-tool-purchase-for-scheduling
https://docs.snowflake.com/en/user-guide/data-load-transform.html#:~:text=Snowflake%20supports%20transforming%20data%20while,columns%20during%20a%20data%20load.
You can create snowpipe on Azure blob storage, Once snowpipe created on top of your azure blob storage, It will monitor bucket and file will be loaded into your stage table as soon as new file comes in. After copied the data into stage table you can schedule transformation SQL using snowflake task.
You can refer snowpipe creation step for azure blob storage in below link:
Snowpipe on microsoft Azure blob storage
I wanted to move some data on daily basis from azure data lake to Big query using Azure Data Factory. However, ADF does not support Big Query as sink. What would you suggest? Any GCP service analogue to ADF to perform this task?
Thanks!
However, ADF does not support Big Query as sink.
Yes, ADF can only support Google Big Query as the source. So this means ADF can not achieve your requirement.
Any GCP service analogue to ADF to perform this task?
It seems that there is no ready-made tool, maybe you can write code to get data from datalake and copy it?
I am new to Azure Data Factory pipelines.
I want guidance on how to call an Azure Batch Job via a Azure Data Factory pipeline and monitor the batch job for failure/completion - is this possible ?
Regards
I found the following articles which I am working through...
https://learn.microsoft.com/en-us/azure/data-factory/v1/data-factory-data-processing-using-batch
I have some T-sql scripts which generate some data and we manually update them into the excel spreedsheet, we need a way to push this into azure sql database, from a job so that we can access them from there and remove the manual process of uploading the information to the azure sql database every time. What is the best way to do this?
I assume you are trying to move data from an on prem server to Azure. The simplest method may be Azure Data Sync.
You could load your data from your queries into an on prem table which syncs to Azure.
On all your SQL Server instances, you can create a Linked Server to one Azure SQL Database. Once the linked server is created you can directly insert on Azure SQL Database from your on-premises SQL Server instances.
Here is how you create the Linked Server.
Below image shows how you insert data on Azure SQL Database using the linked server.
For detailed steps, you can visit this tutorial.
I think you can think about Azure Data Factory.
Azure Data Factory Copy Active can help you use T-sql scripts to move data to another Azure SQL database.
For more details, please the Azure tutorial:Copy multiple tables in bulk by using Azure Data Factory.
When the pipeline created, you can trigger and monitor the pipeline runs.
Trigger the pipeline on a schedule:
You can create a scheduler trigger to schedule the pipeline to run periodically (hourly, daily, and so on). In this procedure, you create a trigger to run every minute until the end date and time that you specify.
Please see: Trigger the pipeline on a schedule.
This can help you push the data to Azure SQL Database automatically.
Hope this helps.
you can try the SSIS package? which automates the process of data upload data into azure sql database.... i have not used ssis for Azure but to sink data from csv/xls/xlsx into ms sql server database,,I refered this article which can be helpful in anyway
I have searched for on-demand data fetch but found details about scheduling ADF pipeline.
I want to know about how to achieve on-demand data load from ADF pipeline?
Documentation for One-time pipelines is here: https://learn.microsoft.com/en-us/azure/data-factory/data-factory-scheduling-and-execution#onetime-pipeline
You can use this for example with PowerShell (https://learn.microsoft.com/en-us/azure/data-factory/data-factory-copy-activity-tutorial-using-powershell) to script one-time execution.