I try to use Serverless Sql Pool Integration dataset in Azure Analitycs DataFlow as a source but I can't. SQL Pool is unavailable as a Source in DataFlow, but I don't know why?
What is a problem? I use SQL Pool datasets in Azure Synapse Pipelines and it works. Is it problem with my licence, version or maybe I do something wrong?
Have you tried selecting Synapse Dataset instead of SQL
You will need a Synapse Linked Service as well
Related
Currently exploring using Spark notebooks in Synapse for data transformation instead of data flows but the lake db capabilities are a little confusing.
I created a lake db, an external table (catalog?) and a view using a notebook in Synapse Workspace. The view is visible in the Synapse UI and I can query it.
But the view is not available when connecting via the SQL pool using management or data studio for example. Are only table meta data shared, or am I missing something? Having trouble finding documentation regarding this.
But the view is not available when connecting via the SQL pool using management or data studio for example. Is this intended, or am I missing something?
The Serverless SQL Pool and the Spark Pool share a catalog, but the Dedicated SQL Pool has its own.
Spark views are session (temp views) or app (global views) scoped and do not belong in the catalog. That is the reason you don't see views.
I have question regarding SQL Pool. Not sure i understood what it is. Does SQL Pool service is the service for SQL Server type databases? I have Postgres database and consider to move it to Azure nevertheless what is there any usage of SQL Pool service in case of Azure Postgres or it's only for Azure SQL Server database? Last: Does SQL Pool also used by Synapse ETL?
Azure SQL Pool is used with Azure Synapse Analytics to query Big Data. You can consider it as a Data Warehouse. Once your dedicated SQL pool is created, you can import big data with simple PolyBase T-SQL queries, and then use the power of the distributed query engine to run high-performance analytics.
How SQL Pool works? In a cloud data solution, data is ingested into big data stores from a variety of sources. Once in a big data store, Hadoop, Spark, and machine learning algorithms prepare and train the data. When the data is ready for complex analysis, dedicated SQL pool uses PolyBase to query the big data stores. PolyBase uses standard T-SQL queries to bring the data into dedicated SQL pool tables.
No, PostgreSQL can't be used in SQL Pool. There is actually no link between these two services. If you want to migrate the on-premises PostgreSQL to Azure, you can use Azure Database for PostgreSQL. Check Tutorial: Migrate PostgreSQL to Azure DB for PostgreSQL online using DMS via the Azure CLI.
Due to reasons (I've been told it's a networking issue with MIs; regardless, we can't fix it, we're waiting on a solution from MS that may or may not come out this year), we cannot talk from on-prem to managed instances. However, we can reach Azure SQL Databases.
We would like to replicate lookup data from on-prem to Azure Managed Instances (MIs) as well as ASDs. Is there any way to use the ASD as a "jump" box for replication, maybe by putting the Distributor on an MI that can talk to the ASD?
Looked at Azure Data Sync, but the 5-minute-minimum makes it a no-go.
Otherwise, our current fallback is to run an Azure VM/AKS instance, replicate to it, then from there to the ASDs/MIs. But man, I'd rather not have to do that.
Any suggestions appreciated.
One Way Transactional replication using SQL Data Sync for Azure.
If they wish to maintain the replication running after the migration to Managed Instances, transactional replication will be the best option at this time. Replication to Azure SQL Database
Or using ETL via Azure DataFactory
Transfer data from a SQL Server database to an Azure SQL Database using Azure Blob Storage and the Azure Data Factory (ADF): this is a supported legacy technique that benefits from a replicated staging copy.
ADF pipeline consisting of two data migration processes. They work together to transfer data between a SQL Server database and an Azure SQL Database on a regular basis. The two actions are as follows:
Data should be copied from a SQL Server database to an Azure Blob Storage account
I'm trying to find documentation on this, but I don't see a definitive answer. Is it possible to have a Synapse Notebook in Azure to connect directly to an On-Prem SQL Server to pull data into a dataframe using JDBC connections maybe? Perhaps some other method?
I spoke with a guy from Microsoft who works on the Synapse team, and he confirmed that as of right now, it's not possible to directly connect to your on-prem data sources directly through Synapse notebooks.
He suggested that the best way right now, is to bring your data into a Data Lake for example using pipelines, and then do your Synapse processing.
Is there a way to directly migrate your database in Azure SQL database to the Azure PostgreSQL database (HyperScale-Citus).
I have looked into the Azure migration services but it does not support this particular migration route.
I have an approach in mind but don't know if it will work?
We can make a backup of the Azure SQL database on the cloud itself
and then load that backup to Azure PostgreSQL database
But I do not where to make a backup. In azure blob storage or something else?
Frist way, you could try the tutorial #ffffff01 provided for you.
There this another way can help you achieve that: Data Factory can help you migrate the database/data from Azure SQL database to Azure PostgreSQL database directly.
Ref bellow tutorial:
Copy data to and from Azure Database for PostgreSQL by using Azure
Data Factory
Copy and transform data in Azure SQL Database by using Azure Data
Factory
Create Azure SQL database as source dataset and Azure PostgreSQL database as sink.
Hope this helps.