We will make this feature available in more regions in the future. If your environment isn’t in one of the listed regions, complete the survey and let us know. If your Finance and Operations apps environment is in any of those regions, you can enable this feature in your environment. This feature is generally available in certain Azure regions: United States, Canada, United Kingdom, Europe, South East Asia, East Asia, Australia, India, and Japan. The Export to Data Lake feature is an optional add-in included with your subscription to Dynamics 365. You can merge signals from the factory floor with production schedules, or you can merge web logs from e-commerce sites with invoices and inventory movement.Ĭan’t wait to try this feature? Here are the steps you need to follow.
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You can easily mash-up business data with signals from sensors and machines using Azure Synapse Analytics. Why limit yourself to business data? You can ingest legacy data from previous systems as well as data from machines and sensors at a fraction of the cost incurred when storing data in a SQL data warehouse. Serverless SQL pool endpoints in Azure Synapse Analytics conveniently lets you query big data in the lake with Transact-SQL (T-SQL). Or you can work with a data lake the same way that you work with data in a SQL database.
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Your data engineers can use Spark and other big data technologies to reshape data or to apply machine learning models. With a replica of your Dynamics 365 data in the data lake, you can use Microsoft Power BI to create rich operational reports and analytics. With general availability of the Export to Data Lake feature in Finance and Operations apps, data from your Dynamics 365 environment is readily available in Azure Data Lake.ĭata lakes are optimized for big data analytics. If your solution includes using a data lake, you can now simplify data pipelines to unlock the insights hidden in that data by connecting your Finance and Operations apps environment with a data lake.
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You chose Dynamics 365 for your enterprise to improve visibility and to transform your business with insights. Is it a challenge to provide timely insights? Does it take too much effort to build and maintain complex data pipelines?