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Azure Data Lake Store (ADLS) is a cloud-based repository for both structured and unstructured data.
ADLS is designed for big data analytics in a Hadoop environment. It is compatible with Hadoop Distributed File System (HDFS), so you can run your existing Hadoop jobs by simply telling them to use your Azure data lake as the filesystem.
Alternatively, you can use Azure Data Lake Analytics (ADLA) to do your big data processing tasks. It’s a service that automatically provisions resources to run processing jobs.
In this course, you will learn to import data into ADLS, then secure, process, and export it. How to create data-driven pipelines to direct the movement of data. You will also be introduced to an alternative option to Azure Data Factory and that is using SSIS to work with your cloud resources. How to troubleshoot processing jobs and optimize I/O.