Azure Data Lake Store is a huge repository for enterprises and is used in all kinds of big data analysis workloads. Azure Data Lake Store provides you with the ability to capture data of any size, type, and acquisition speed, to perform operational and exploratory analyses in a single location.

Some more details—the Azure Data Lake Store is an Apache Hadoop file system that is compatible with HDFS and can be used with the complete Hadoop ecosystem. This means you can easily integrate your existing HDInsight applications or services into your Azure Data Lake Store.

Azure Data Lake Store can store any data in the system's native format without prior transformation. Azure Data Lake Store does not require defining a schema before loading the data. The interpretation of the data and definition of a schema is performed at the time of the analysis by the individual analysis frameworks (for example, MapReduce).

Azure Data Lake Store can manage structured, partially structured, and unstructured data, by storing files of any size, up to a petabyte (PB) size, and format.