Is there any sand box environment for Data Lake Store and Analytics so that I don't have to use my Azure Credits?
Azure Data Lake Analytics (ADLA) does have a mode for local execution. You install an emulator and this enables you to run your U-SQL scripts from Visual Studio either against your local instance or your Azure ADLA account.
Some reading on the topic:
https://azure.microsoft.com/en-gb/blog/run-u-sql-scripts-locally-with-updated-azure-data-lake-tools-for-visual-studio/
https://learn.microsoft.com/en-us/azure/data-lake-analytics/data-lake-analytics-u-sql-sdk
You can use the ADL tool with VisualStudio Community Edition which gives you the experience for free.
Related
What are the differences between the following Azure Services?
Azure Synapse Analytics (formerly SQL DW)
Azure Synapse Analytics (private link hubs preview)
Azure Synapse Analytics (workspaces preview)
Are these three different products? Or are the two preview services just new features that will eventually be added into Azure Synapse Analytics?
The documentation is a little confusing. This FAQ (https://learn.microsoft.com/en-us/azure/synapse-analytics/overview-what-is) for the workspaces preview, for example, just looks like a FAQ for the overall Azure Synapse Analytics service.
It would be useful to link to a document mentioning these terms so I could have some context. Without context, this is my understanding of these:
Azure Synapse Analytics (formerly SQL DW)
This is just the MPP relational platform piece of "Azure Synapse Analytics"
You can connect to it using Azure Data Studio, SQL Server Management Studio, or Synapse Workspace and run SQL queries on it. It's a relational database that stores data across 60 shared-nothing nodes
Azure Synapse Analytics (private link hubs preview)
private link is a new feature across many Azure resources (data lake etc.) that allows you to confine connectivity to internal Azure VNets, meaning that you can use the resource without requiring public access. This feature is not specific to Synapse, it's a network connectivity feature being rolled across multiple azure components
Azure Synapse Analytics (workspaces preview)
This is the actual front end that has tabs for various analytics components. One component is the MPP platform that used to be called SQL DW. Another component is MS spark engine. Other components are Power BI and Data Factory.
Do you have a use case or an objective here?
Want to connect ADLS Gen-1 with AzureML Studio.
I try to find out some solution but could not get
Direct method:
Currently, Azure Data Lake Store is not a supported source.
I would suggest you to vote up an idea submitted by another Azure customer.
https://feedback.azure.com/forums/327234-data-lake/suggestions/15008490-adl-store-connector-for-ml-studio
All of the feedback you share in these forums will be monitored and reviewed by the Microsoft engineering teams responsible for building Azure.
By using the Import Data module, you can access data from one of several online data sources while your experiment is running:
• A Web URL using HTTP
• Hadoop using HiveQL
• Azure blob storage
• Azure table
• Azure SQL database or SQL Server on Azure VM
• On-premises SQL Server database
• A data feed provider, OData currently
• Azure Cosmos DB
For more details, refer “Supported data types in Azure ML studio”.
In-direct method:
Azure Data Lake Analytics can also be used to write data out to Azure Blob Store, and so you can use that as an approach to process the data in U-SQL and then stage it for Azure Machine Learning to process it from Blob store. When Azure ML supports Data Lake store, then you can switch that over.
For more details, refer "How to use ADLS as an input data set for Azure ML Studio".
Hope this helps.
It is possible to access Azure data lake folders from windows explorer through SMB or file share like we can do with Azure file storage?
No, that is not possible.
You can try to write your own aplication to do it, but its not an easy job.
You can also use visual studio or azure portal to access your data.
I have hard time with Azure Functions on Azure Government. I need to create a C# trigger bases process on Azure Storage. The goal is to automate the process of the loading the files into Azure SQL DB when a file is dropped into Azure Storage.
Since Azure Functions in Azure Government are not fully comparable to Azure Function in regular Azure and not all UIs are the same, I can't deploy the function to trigger on a storage file.
I was able to build the process in regular Azure Cloud following instructions from https://github.com/yorek/AzureFunctionUploadToSQL but since Azure Government is missing the UI for Azure Functions I'm having hard time to replicating the process in Azure Government.
Portal UI support is not yet available in Azure Government, but it is coming soon. Additionally, Azure Government currently supports "App Service plan" ("Consumption plan" coming soon).
In the meantime, you can do everything you need. First, provision your Azure Function in Azure Gov via the Azure CLI by following this Quickstart example for Functions on Azure Gov. That same link also shows you how you can use Visual Studio to set up your triggers (in your case, a Blob trigger).
Once complete, deploy your Function to Azure Gov with Visual Studio.
When developing for Azure storage accounts, I can run the Microsoft Storage Emulator to locally keep Blobs, Queues, and Tables without having to connect to Azure online.
Is there something equivalent for the Azure Data Lake Store? It would be nice to develop locally for a while without having to connect to Azure online.
Have you tried Visual Studio with the Azure Data Lake Tools plug-in?
As pointed out by David, you can develop Azure Data Lake Analytics (ADLA) projects locally without needing connectivity to Azure for the ADLA account or the associated Azure Data Lake Store (ADLS) account. Is there some other application you would like to use with ADLS?
Thanks,
Sachin Sheth
Azure Data Lake team
Same problem here.
AFAIK the Storage Emulator is not yet able to really handle Data Lake (ADSL Gen2) Requests.
This Uri works (but looks for a file, not a dir):
http://127.0.0.1:10000/devstoreaccount1/packages-container/Dir/SubDir?sv=2020-04-08&se=2022-10-13T14%3A43%3A39Z&sr=b&sp=rcwl&sig=d2SxwYCkJGyx%2BHac9vntYQZOTt5QVs1bKgKb4%2FgcQ9k%3D
This one doesn't:
Error: Status: 403 (Server failed to authenticate the request. Make sure the value of the Authorization header is formed correctly including the signature.)
ErrorCode: AuthorizationFailure
http://127.0.0.1:10000/devstoreaccount1/packages-container/Dir/SubDir?sv=2020-04-08&se=2022-10-13T14%3A43%3A39Z&sr=d&sp=rcwl&sdd=2&sig=KU%2Fcu6W0Nsv8CucMgusubo8RbXWabFO8nDMkFxU1tTw%3D
The difference is that the second one uses the resource 'sr=d' (directory) while the first uses 'sr=b' (blob).
Both items are working on real Azure Storage (with ADSL Gen2).
The request is already tracked here: https://github.com/Azure/Azurite/issues/553
Tested on VS 2022 17.3.6 using Server: Azurite-Blob/3.18.0