I am receiving multiple .trn files on daily basis & I am resorting those file in on-premises sql database. Now How we can migrate those .trn files daily on azure.
Connect on-premises SQL database to Azure data factory using Self hosted IR. A self-hosted integration runtime can run copy activities between a cloud data store and a data store in a private network.
Create pipeline and use copy activity.
Select on-premises SQL database as Source.
Select Azure service of your choice as Sink.
Now use trigger to copy data from on premise to Azure periodically.
Refer – Copy activity link
Also refer – Trigger link
Related
copy data from postgreSQL db to azure sQl db
The source is in different server and i want to move the data from source server to destination server for that i need to install self hosted integration runtime but i am unable to install that is there another way to do that.
As I understand the ask here , user is not willing to install Self hosted IR , but the goal is to copy data from postgressql ( in prermise ) to Azure sql . I am quite sure without SHIR , we cannot use azure data factory in this case .
I suggest to use pg_dump to copy the data locally and then move the local file to a cloud storage and then copy data from cloud storage to Azure SQl using ADF .
What is the best method to sync medical images between my client PCs and my Azure Blob storage through a cloud-based web application? I tried to use MS Azure Blob SDK v18, but it is not that fast. I'm looking for something like dropbox, fast, resumable and efficient parallel uploading.
Solution 1:
AzCopy is a command-line tool for copying data to or from Azure Blob storage, Azure Files, and Azure Table storage, by using simple commands. The commands are designed for optimal performance. Using AzCopy, you can either copy data between a file system and a storage account, or between storage accounts. AzCopy may be used to copy data from local (on-premises) data to a storage account.
And also You can create a scheduled task or cron job that runs an AzCopy command script. The script identifies and uploads new on-premises data to cloud storage at a specific time interval.
Fore more details refer this document
Solution 2:
Azure Data Factory is a fully managed, cloud-based, data-integration ETL service that automates the movement and transformation of data.
By using Azure Data Factory, you can create data-driven workflows to move data between on-premises and cloud data stores. And you can process and transform data with Data Flows. ADF also supports external compute engines for hand-coded transformations by using compute services such as Azure HDInsight, Azure Databricks, and the SQL Server Integration Services (SSIS) integration runtime.
Create an Azure Data Factory pipeline to transfer files between an on-premises machine and Azure Blob Storage.
For more details refer this thread
Since I've starting using Azure Synapse Analytics, I created a Spark Pool Cluster, then on the Spark Pool cluster I created databases and tables using Pyspark on top of parquet files in Azure Data Lake Store Gen2.
I use to be able to access my spark Database/ parquet tables through SSMS using the Serverless SQL endpoint but now I can no longer see my spark Databases through the Severless SQL Endpoint in SSMS. My spark databases are still accessible through Azure Data Studio but not through SSMS. Nothing has been deployed or alter on my side. Can you help resolve the issue? I would like to be able to access my spark databases through SSMS.
Sql Serverless Endpoint
Azure Synapse Database
If your Spark DB is built on top of Parquet files, as you said, databases should sync to external tables in Serverless SQL pool just fine and you should be able to see synced SQL external tables in SSMS as well. Check this link for more info about metadata synchronization.
If everything mentioned above is checked, then I'd suggest you to navigate to Help + Support in Azure Portal and fill in a support ticket request with details of your problem so engineering team can take a look and see whether there is some issue with your workspace or not.
We are supporting a legacy system for our organisation. In the current scenario, we receive a SQL Server backup (.bak files) from the application vendor on an FTP location. For every weekend on Sunday it is a Full backup and for every other day its the differential one.
On our side, we have a SQL server instance running which has custom stored procedures written and scheduled to check the location every morning and then restore the backups every day. These restored backups are then used by the organisation for internal reporting purposes. There are 100s of other stored procedures written for different reports in different DBs on the same instance.
Since SQL Server 2008 is now out of support and for cost-saving purposes of running on-premise system, my team has been given a task to look into migrating this whole system to Azure SQL database.
My question is what is the most effective way in which we can move this workflow to the cloud? I have an azure trial account set up for me to try but haven't been successful in restoring the .bak files on Azure SQL instance.
Thanks.
You essentially have two options for Azure, either perform a fairly linear Lift and Shift to SQL Server on an Azure VM or go with a more advanced Azure PaaS offering in Azure SQL Database Managed Instance. The specific deployment Azure SQL Database (Single Instance) will not support your current solution requires with regard to the .bak file support, and I have detailed that below. For further details between the difference between Azure SQL Database Single Instance versus Managed Instance, please see: Features comparison: Azure SQL Database and Azure SQL Managed Instance
The second option, is to leverage the Azure Enterprise Ready Analytics Architecture (AERAA) (link) of Azure (PaaS) Analytics services. With Azure SQL Database (PaaS) services, as opposed to on-premise SQL Server or SQL Server on an Azure VM, there is no Integration Runtime or Analysis Services as a bundled service component. These services are separate PaaS offerings and with the help of the linked AERAA blog, you can gain a better understanding of the Azure Analytics services.
The .bak versus .bacpac support dilemma:
Since the main requirement for your solution is support of .bak files, you need to understand where .bak and where .bacpac files are supported. The term Azure SQL Database applies to both a specific deployment option for an Azure SQL database (PaaS) service and as a general term for Azure SQL cloud databases. As for the specific deployment option, Azure SQL Database (Single Instance nor Elastic Pools) will support your scenario with .bak files. This deployment option will support export/import functionality via .bacpac file format. It will not support full/partial restore functionality. The backup/restore functionality although configurable, is only in scope for the specific database hosted by an Azure SQL (logical) Server instance. Basically, you can not restore an external file. You can import, which is always a full copy. So, for that reason, for an Azure PaaS database service you will need Azure SQL Database Managed Instance for .bak file support or deploy an SQL Server VM image to an Azure VM, and migrate your objects via Azure Database Migration Service.
Regards,
Mike
I have a large amount of XML files that I transfer via ftp to an azure website folder on a daily basis. I currently use c# to transfer the data to azure sql server tables. However, it is extremely slow.
Is there a way I can run an Azure SQL job to bulk import these files and if so, how do I access the files in the web apps folder?
I know how to do this on a standard SQL server with XML files residing on a share drive but am unsure how to do this in azure.
Currently, we do not support any T-SQL interface to read files from blob store or container. So you have to push the data from outside of SQL Server.
One option is to use Azure Automation to run your code periodically or based on a schedule. See post below on how to use Azure Automation:
http://azure.microsoft.com/en-us/documentation/articles/automation-manage-sql-database/