I want to copy data from sharepoint to microsoft azure sql DW using azure datafactory or alternative service. Can I do this. Please anyone help me with this.
You can do this by setting up a data pipeline using Azure Data Factory to Azure blob storage. Afterwards you can use Azure's fast PolyBase technology to load the data from blob to your SQL Data Warehouse instance.
Can I ask how much data you intend on loading into the DW? Azure Data Warehouse is intended for use with at least terabyte level data up to petabyte compute and storage. I only ask because each SharePoint list or Excel file has a maximum of 2GB per file.
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We are currently extracting multiple tables from Azure SQL Servereless pool in Synapse. Unlike a regular Azure SQL Database it is very easy to increase the performance from Basic all the way through to Premium or Business continuity.
Can someone let me know how to go about increasing the performance of Azure SQL Serverles Pool in synapse?
Serverless SQL pool is a distributed data processing system and it doesn't have any inbuilt storage to store data. It uses external table to query the data from Azure data lake storage. Therefore, data cannot be copied to the serverless SQL pool. If data needs to be extracted from serverless SQL pool, you can extract data directly from the underlying external storage. If the target datastore supports polybase data loading, use that to load to the target table from ADLS.
Is there a way to output U-SQL results directly to a SQL DB such as Azure SQL DB? Couldn't find much about that.
Thanks!
U-SQL only currently outputs to files or internal tables (ie tables within ADLA databases), but you have a couple of options. Azure SQL Database has recently gained the ability to load files from Azure Blob Storage using either BULK INSERT or OPENROWSET, so you could try that. This article shows the syntax and gives a reminder that:
Azure Blob storage containers with public blobs or public containers
access permissions are not currently supported.
wasb://<BlobContainerName>#<StorageAccountName>.blob.core.windows.net/yourFolder/yourFile.txt
BULK INSERT and OPENROWSET with Azure Blob Storage is shown here:
https://blogs.msdn.microsoft.com/sqlserverstorageengine/2017/02/23/loading-files-from-azure-blob-storage-into-azure-sql-database/
You could also use Azure Data Factory (ADF). Its Copy Activity could load the data from Azure Data Lake Storage (ADLS) to an Azure SQL Database in two steps:
execute U-SQL script which creates output files in ADLS (internal tables are not currently supported as a source in ADF)
move the data from ADLS to Azure SQL Database
As a final option, if your data is likely to get into larger volumes (ie Terabytes (TB) then you could use Azure SQL Data Warehouse which supports Polybase. Polybase now supports both Azure Blob Storage and ADLS as a source.
Perhaps if you can tell us a bit more about your process we can refine which of these options is most suitable for you.
Is there any direct way within the Azure MSSQL ecosystem to export SQL returned data set into the Azure table storage?
Something like BCP but with the Table Storage connection string on the -Output end?
There is a service named Azure Data Factory which can directly copy data from Azure SQL Database to Azure Table Storage, even between other supported data stores, please see the section Supported data stores of the article "Data movement and the Copy Activity: migrating data to the cloud and between cloud stores" to know, but it is for Web, not like BCP command tool.
You can refer to the tutorial Build your first Azure data factory using Azure Portal/Data Factory Editor to know how to use it.
And as references, you can refer to the articles Move data to and from Azure SQL Database using Azure Data Factory & Move data to and from Azure Table using Azure Data Factory to know how it works.
I've done a fair bit of reading and it seems like there are a couple of off-the-shelf products that replicate/sync data from on-premise database to Azure SQL Data Warehouse but I've found nothing that syncs using an Azure database as the source. The Azure Data Factory holds some promise however it looks more suited to one off loads.
Anyone know of a way? (SSIS package not really an option as I want the transfer to occur wholly inside the cloud)
Azure Data Factory can run continuous loads from SQL Database to SQL Data Warehouse. You'll want to look into the frequency and interval parameters for the pipeline
The documentation is here https://azure.microsoft.com/en-us/documentation/articles/data-factory-create-datasets/.
I wonder to know how data is stored on disk in Azure Table? are they stored in a columnar format like HBase?
Microsoft Azure Table is a form of Microsoft Azure Storage, a scalable cloud storage system. There are three layers within an Azure Storage stamp and Stream layer stores the bits on disk, and in charge of distributing and replicating the data across many servers to keep the data durable within a stamp. Please see “Stream Layer” section in the following paper (http://sigops.org/sosp/sosp11/current/2011-Cascais/11-calder-online.pdf) to understand how we manage data on the hardware.
I can't say for sure, but I don't think so. Azure Table Storage is a key-value store. HDInsight is Azure's column-family storage, built on Hadoop, similar to HBase.