We are working on implementing a new project in Azure. The idea is to move out of on-premise systems into the cloud as we have our vendors, partners and clients moving into the cloud. The option we are trying out is to use Azure Data Share and have Azure SQL Database subscribe to the data.
The thing we are now trying to explore is once a new data snapshot is created how do we import this data into Azure SQL Database?
For instance we have Partner information and this information is made available via Azure Data Share and new data snapshot is created daily.
The part that I am not sure of is how to synchronize this data between Azure Data Share and Azure SQL Database.
Also, Is there an api available to expose this data out to external vendors, partners or clients from Azure SQL Database after we have data sync to Azure SQL Database from Azure Data Share?
Azure Data Share -> Azure SQL Database
Yes, Azure SQL Database is a supported.
Azure Data Share -> SQL Server Database (on-prem)? Is this option supported?
No, SQL Server Database (on-prem) is not supported.
Is there an api that could be consumed to read data?
Unfortunately, there is no such API that could be consumed to read data.
Azure Data Share enables organizations to simply and securely share data with multiple customers and partners. In just a few clicks, you can provision a new data share account, add datasets, and invite your customers and partners to your data share. Data providers are always in control of the data that they have shared. Azure Data Share makes it simple to manage and monitor what data was shared, when and by whom.
Azure Data Share helps enhance insights by making it easy to combine data from third parties to enrich analytics and AI scenarios. Easily use the power of Azure analytics tools to prepare, process, and analyze data shared using Azure Data Share.
Which Azure data stores does Data Share support?
Data Share supports data sharing to and from Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, and Azure Data Explorer. Data Share will support more Azure data stores in the future.
The below table details the supported data sources for Azure Data Share.
How to synchronize this data between Azure Data Share and Azure SQL Database.
You need to choose “Snapshot setting” to refresh data automatically.
A data provider can configure a data share with a snapshot setting. This allows incremental updates to be received on a regular schedule, either daily or hourly. Once configured, the data consumer has the option to enable the schedule.
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pretty new to the Azure environment and so far my search for information wasnt very successful.
Problem is as follows:
we wanna access a redshift DB which you can only connect to if you are conntected to a specific VPN beforehand - this is the main problem
we then wanna build an automated data pipeline which extracts daily updated data from the redshift db and create our own analytics solution from it
how can that be set up in a fully automated workflow and also in the simplest, most efficient way with the tools available on the azure platform?
thanks for the help.
If VPN is not the challenge and you just need to extract the data from Redshift DB and store it in any Azure Service like Blob Storage or Azure Synapse Analytics, then best possible way is to use Azure Data Factory. Azure Data Factory is a fully managed, serverless data integration service.
You can copy data using Copy activity from Amazon Redshift to any supported sink data store. For a list of data stores that are supported as sources/sinks by the copy activity, see the Supported data stores table.
Specifically, this Amazon Redshift connector supports retrieving data from Redshift using query or built-in Redshift UNLOAD support.
Note: When copying data to an Azure data store, see Azure Data Center IP Ranges for the Compute IP address and SQL ranges used by the Azure data centers.
In case you need to import data into Azure SQL database from AWS Redshift, follow the link.
I'm doing some tests with Azure Data Lake Analytics and I can’t add a new SQL Server database as a Data Source. When I click on "Add data source", the only two available options are: "Azure Data Lake Storage Gen1" and "Azure Storage".
What I want is to add one SQL Server database so that I can run U-SQL queries against it.
Our SQL Server firewall is correctly configured to allow access to Azure Services, but I am not allowed to add it as a data source.
How can this be done? Is it a matter of other configuration issues?
Any help would be greatly appreciated.
Per my research ,there is no other configuration issues for sql server data source in DLA. Based on this official doc, DLA only supports two data sources:Data Lake Store and Azure Storage.
As workaround , I suggest you using Azure Data Factory to transfer data from sql server database to azure storage so that you could run U-SQL script against data source.
Any concern,please let me know.
I am looking for a best programmatic way to extract data from Azure Data Lake to MSSQL database, which is installed on a VM within Azure.
Currently I am considering following options:
Azure Data Factory
SSIS (Using Azure Data Lake Store Connection Manager)
User-Defined Outputter Example1, Example2
Custom C# code that reads Azure Data Lake data and inserts it into SQL Server DB
Any other good ways I am missing?
Data factory v2 (currently in public preview), also supports hosting SSIS to give you a data factory AND ssis option.
And not necessarily a good idea for many scenarios, but Azure Logic Apps has both a data lake store connector and SQL Server connector, which could be useful in scenarios such as writing lots of small files on a schedule or trigger.
You also may not need to go full on c# and instead use PowerShell, there are powershell modules for both data lake store and sql server.
I am a new to azure.Could any one help me what is table storage in Azure and how can I do table storage deployment through VSTS?Please share your thoughts and what steps involved in this and which plugin/task I can use in VSTS to perform this?
About Azure Table storage, you can refer to this article: Azure Table storage overview.
Regarding Azure table storage with VSTS, you can manage azure tables and table entities through Azure PowerShell task.
Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud. Azure tables are ideal for storing structured, non-relational data. Common uses of Table storage include:
Storing TBs of structured data capable of serving web scale
applications
Storing datasets that don't require complex joins, foreign keys, or
stored procedures and can be denormalized for fast access
Quickly querying data using a clustered index
Accessing data using the OData protocol and LINQ queries with WCF
Data Service .NET Libraries
You can use Table storage to store and query huge sets of structured, non-relational data, and your tables will scale as demand increases.
You’ll have to install Azure Storage Client Library for .NET to work with Azure Storage.
For more details, refer to the documentations Get started with Azure Table storage using .NET and Get started with Azure table storage and Visual Studio Connected Services (ASP.NET) incase if you haven't checked earlier.
Currently as part of our requirements we are working with the below Azure components
Azure Event Hub
Azure Stream Analytics
Azure Table Storage
Azure Sql DB
Basically with first 3 components, we will be building an Analytics and Reports platform.
Currently as we just started we analyze the data from Azure Table Storage and display it in the analytics dashboard.
Recently we came across a new Azure product Azure Data Lake . Doing some research on microsoft website , we could see we can easily migrate data from Azure Table Storage (with help of Azure Data Factory) to Azure Lake Store. Creating big data pipelines using Azure Data Lake and Azure Data Factory
As we go through the above link, it's mentioned that we need to create an Azure Data Lake Analytics pipeline to process the data.
So what am unclear is the where will be analytics output data will be saved. Do we need to save the analytics output to some DB ? or can we real-time analytics through a Http request ?
We have huge number rows of records in Azure Table Storage that will be moved to Azure Data Lake. For this scenario is it a good option or Can we go an analytics-based solution from Azure Table Storage itself.
Please share your thoughts
You can store your analytics output data on Azure Data Lake Store (a data repository that enables you to store all kinds of data in their raw format without defining schemas.) after processing it through Azure Data lake Analytics (An analytics service that enables you to run jobs on data sets without having to think about clusters.)
As you said "We have huge number rows of records in Azure Table Storage that will be moved to Azure Data Lake.", I think performing analytics on data placed on Azure data lake store is much more efficient because it offers unlimited storage with immediate read/write access to it and scaling the throughput you need for your workloads. It's also offers small writes at low latency for big data sets. So I believe it is better choice then Azure Table storage.