My company has two Azure environments. The first one was a temporary environment and is being re-purposed / decommissioned / I'm not sure. All I know is I need to get files from one Data Lake on one environment, to a DataLake on another. I've looked at adlcopy and azcopy and neither seem like they will do what I need done. Has anyone encountered this before and if so, what did you use to solve it?
Maybe you can think about Azure Data Factory, it can helps you transfer files or data from one Azure Data Lake to Another Data Lake.
You can reference Copy data to or from Azure Data Lake Storage Gen2 using Azure Data Factory.
This article outlines how to use Copy Activity in Azure Data Factory to copy data to and from Data Lake Storage Gen2. It builds on the Copy Activity overview article that presents a general overview of Copy Activity.
For example, you can learn from this tutorial: Quickstart: Use the Copy Data tool to copy data.
In this quickstart, you use the Azure portal to create a data factory. Then, you use the Copy Data tool to create a pipeline that copies data from a folder in Azure Blob storage to another folder.
Hope this helps.
Related
I'm looking for some advice around using Azure Data Factory to migrate data from Salesforce to Dynamics365.
My research has discovered plenty of articles about moving salesforce data to sinks such as azure data lakes or blob storage and also articles that describe moving data from azure data lakes or blob storage into D365.
I haven't found any examples where the source is salesforce and the sink is D365.
Is it possible to do it this way or do I need to copy the SF data to an intermediate sink such as Azure Data Lake or blob storage and then use that as the source of a copy/dataflow to then send to D365?
I will need to perform transformations on the SF data before storing it in D365.
Thanks
I would recommend to add ADLS Gen 2 as a Stage between SalesForce and D365
I am afraid that a direct sink as D365 can be done
I have been looking for options to migrate data present in my ADLS in one subscription to ADLS in another subscription within Azure. I tried ADF for this purpose and it worked fine.
But the copy speed is too slow in ADF. It copies at a speed of 10-15 KB/sec. Is there some way to increase speed of copy while using ADF?
Yes, there is a way you can migrate data from Azure Data Lake between different subscription: Data Factory.
No matter Data Lake Gen1 or Gen2, Data Factory all support them as the connector. Please ref these tutorials:
Copy data to or from Azure Data Lake Storage Gen1 using Azure Data Factory.
Copy and transform data in Azure Data Lake Storage Gen2 using Azure
Data Factory.
You can create the source and sink dataset in different subscription through linked service:
But this option may cost you some money. You also could ref the Azure Az-copy tutorials: Copy blobs between Azure storage accounts by using AzCopy.
Here is another blog How To Copy Files From One Azure Storage Account To Another:
In this post, Bloger will outline how to copy data from one Azure
Storage Account in one subscription to another Storage Account in
another subscription.
These maybe what you're looking for.
I am just going through some Microsoft Document and doing handOn for Data engineering related things.
I have couple of queries for a scenrerio - "copy CSV file(s) from Blob storage to Synapse analytics (stage table(s)):
I read that we can do direct data pull in Synapse with the process of creating external tables. (https://learn.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/load-data-wideworldimportersdw)
If above is possible, then in what cases we do use Azure Data factory Copy or data flow method?
While working with Azure data factory, is it a good idea to use Polybase, because it will use Blob storage again as staging in this scenrerio (i.e. I am copying file from Blob only and again using blob for staging)?
I searched for answers to my queries but haven't found any satisfactory answer yet.
If you're just straight loading data from CSV into DW, use Copy. Polybase is recommended, but not always needed for small files.
If you need to transform that data or perform updates, then use data flows.
After reading the web I have two options for this
Copy data using ADF from SQL server to Azure synapses analytics.
Copy data to blob storage and from there copy data using external tables to the Azure synapses analytics.
What is the best way out of these two?
Is "Copy data to blob storage from there copy data using ADF to the Azure synapses analytics" can be considered as another option?
Copy data from SQL server to Azure synapses analytics need configure Staging storage account:
I don't think you need options 2.
Hope this helps.
I'd like to have our daily csv log files transferred from GCS to Azure Datalake Store, but I can't really figure out what would be the easiest way for it.
Is there a built-in solution for that?
Can I do that with Data Factory?
I'd rather avoid running a VM scheduled to do this with the apis. The idea comes from the GCS->(DataFlow->)BigQuery solution.
Thanks for any ideas!
Yes, you can move data from Google Cloud Storage to Azure Data lake Store using Azure Data Factory by developing custom copy activity. However, in this activity, you will be using APIs for transferring that data. See details on this article.