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- ADLS Gen1 to ADLS Gen2 Migrations: Options and Best Practices
In this article we will characterize why ADLS Gen2 is the way forward, describe what an ADLS Gen1 migration life cycle looks like, detail the options you have for conducting a successful migration, and call out any underlying nuances, best practices and concerns for each option
- Build a logical Enterprise Data Warehouse with ADLS and Synapse . . .
In this post, we'll walk through creating a logical data warehouse over your ADLS data using a Serverless SQL database Prerequisites Synapse Analytics Workspace Use an existing workspace or create a new Synapse Analytics Workspace Data in an Azure Data Lake Storage Gen 2 Use your own data and follow steps below as a guideline
- How to configure directory level permission for SFTP local user
SFTP is a feature which is supported for Azure Blob Storage with hierarchical namespace (ADLS Gen2 Storage Account) As documented, the permission system used by SFTP feature is different from normal permission system in Azure Storage Account It’s using a form of identity management called local users
- Protect Azure Data Lake Storage with Vaulted Backups
For more information refer to Generally Available: Vaulted Backup for Azure Data Lake Storage (ADLS) --- Original Blog --- We are thrilled to announce a limited public preview of vaulted backups for Azure Data Lake Storage This is available now for test workloads and we’d like to get your feedback
- How To Create Delta Format Files and Query Files Using Azure Synapse
Build Dashboard using Power BI Integration in Azure Synapse, for now, we have in Synapse linked ADLS which includes metadata (delta files), and we would like to build a dashboard
- Process Azure Event Hubs data using Azure Data Factory Mapping Data Flows
You can read more on Azure Event Hubs Capture feature in the public docs - Azure Event Hubs Capture Overview and Azure Event Hubs Capture Quickstart Azure Data Factory Mapping Data Flow pipeline is triggered on schedule to process the data from Storage and load to Azure Synapse SQL Dedicated Pool as well as ADLS Gen2 in parquet format
- Public Preview: Customer Managed Planned Failover for Azure Storage
Planned failover supports Blob, ADLS, Table, File and Queue data Key differences between our customer managed (unplanned) failover and planned failover are highlighted below:
- Metadata Driven Pipelines for Dynamic Full and Incremental Processing . . .
Copy Data from ADLS Gen 2 to Stage Table in Azure SQL DB: The next step is to load the data from ADLS Gen 2 into a staging table to prep to perform the incremental processing The staging table allows for temporary data to be stored and leverage the full compute power of the Azure SQL DB, as well as maintaining more control over the processing
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