Microsoft Azure Data Lake Connector Example

You work as a data analyst for a large financial enterprise. The enterprise performs risk management, fraud detection, and other analysis with Microsoft Azure Data Lake Analytics. You need to write the unstructured, structured, and semi structured data to Microsoft Azure data Lake store to perform the analytics.

You can use Microsoft Azure Data Lake Connector and create a Data Synchronization task or Mapping to read data from sources such as relational or transactional database or other applications such as Salesforce and write data to Microsoft Azure Data Lake Store. After the data is available in the Microsoft Azure Data Lake Store, you can perform the data analytics.