Hey i'm beginer with Azure datalake , i have created some jobs in azure datalake analytics, now i want to delete them, can any one tell me how to do it.
Azure Data Lake Analytics jobs that are submitted cannot be removed from the job history. You can cancel the job before it completes, but it will be logged in the history as well.
I recommend that if you want to run jobs locally, you use Visual Studio with the Azure Data Lake Tools for Visual Studio. You can see more information here: https://learn.microsoft.com/en-us/azure/data-lake-analytics/data-lake-analytics-data-lake-tools-local-run
Let us know if you have more questions.
Thanks!
Related
I have created a new Azure Lake Database using the following procedure
The Lake Database name is called TestLakeDB.
However, when I check the list of databases available in Use database TestLakeDB doesn't appear.
Any thoughts?
Thanks for the valuable discussion. Posting your conversation as answer to help other community members who faces similar issues.
When we create Lake database after connecting to the github, it won't reflect in the Use Database because it is created in github mode.
To reflect the the Lake Database, create the database in the synapse live mode and connect to the github. Now we can see it reflects our database named Lake_Database1 which is created in synapse live mode in the Use Database.
I need expert opinion on a project I am working on. We currently get data files that we load into our Azure sql database using a local script that calls stored procedures. I am planning on replacing the script with ssis jobs to load the data into our Azure Sql but wondering if that's a good option given our needs.I am opened to different suggestions too. The process we go through is to load data file to staging tables and validate before making updates to live tables. The validation and updates are done by calling stored procedures...so the ssis package will just load the data and make calls to those stored procedures. I have looked at ADF IR and Databricks but they seem overkill but am open to hear people with experience using those as well. I am currently running the ssis package locally as well. Any suggestion on better architecture or tools for this scenario? Thanks!
I would definitely have a look at Azure Data Factory Data flows. With this you can easily build your ETL pipelines in the a Azure Data Factory GUI.
In the following example two text files from a Blob Storage are read, joined, a surrogate key is added and finally the data is loaded to Azure Synapse Analytics (would be the same for Azure SQL):
You finally put this Mapping Data Flow into a pipeline and can trigger it, e. g. if new data arrives.
You can just BULK INSERT data from Azure Blob Store:
https://learn.microsoft.com/en-us/sql/relational-databases/import-export/examples-of-bulk-access-to-data-in-azure-blob-storage?view=sql-server-ver15#accessing-data-in-a-csv-file-referencing-an-azure-blob-storage-location
Then you can use ADF (no IR) or Databricks or Azure Batch or Azure Elastic Jobs to schedule the execution.
I need to query my Log Analytics workspace into Azure Data Explorer but i didn't fined any idea about it.
Below are my doubts?
1. Do i need to ingest data from Log Analytics to Azure Data Explorer before utilizing it?
2. I didn't find any way to make a connection to Log Analytics into Azure Data Explorer?
3. The only option i saw to ingest data in Azure Data Explorer is through Event Hub. But now my issue is how can i ingest my log analytics data into Azure Data Explorer using event hub? Do i need to write any process to ingest?
If anyone have then please share so that I can explore about it.
Thanks,
Log Analytics team is working on a direct solution to ingest data to Azure Data
Explorer, meanwhile please export Log Analytics data and ingest data into ADX using the ingest API's or Logic Apps (Event Hub) to setup the export of Log Analytics data to Event Hub.
I'm working on backup and recovery for Data Lake Store. In a nutshell, we need to back up one Data Lake Store to another. I've chosen AdlCopy for that purpose (if you want to know why, check out my previous post: Backup of Data Lake Store).
According to https://learn.microsoft.com/en-us/azure/data-lake-store/data-lake-store-best-practices#resiliency-considerations, AdlCopy supports orchestration through either Azure Automation or Windows Task Scheduler. I'm more keen on using Azure Automation however. Can someone help clarify how I'm supposed to use Azure Automation to run AdlCopy on a schedule? Do I need a VM? AdlCopy only supports Windows 10 and I can't figure out how Azure Automation will help me to achieve a serverless approach (without Data Factory if possible).
If you are going to have scheduled copies, it will be best to do it using Azure Data Factory (ADF). AdlCopy works great for quick one-off transfers of data. But for scheduled ones which need full monitoring support, built-in retries etc, ADF will be best. If there are reasons you cannot use ADF, please do let us know.
Thanks,
Sachin Sheth,
Program Manager, Azure Data Lake.
I want to execute a query in azure data lake daily. Can we schedule a U-SQL query in azure data lake?
Currently, there is no built-in way inside Data Lake Analytics to schedule a U-SQL job. Instead, you can use other services or tools to perform the scheduling. A popular one for Azure customers is Azure Data Factory.
Simple scheduling of U-SQL jobs inside Data Lake Analytics is something we are considering adding as a native capability.
There's two ways to execute a query in azure data lake daily:
Using ADF and Store the U-SQL script in Blob Storage and reference it via a Blob Storage linked service.
Create a SSIS Package using visual studio then import this package in SqlServer Agent serves Job . see Schedule U-SQL jobs