Azure Data Lake

Azure Data Lake service was released on November 16, 2016. It is based on COSMOS,[2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built.[2]

Users can store structured, semi-structured or unstructured data produced from applications including social networks, relational data, sensors, videos, web apps, mobile or desktop devices. A single Azure Data Lake Store account can store trillions of files where a single file can be greater than a petabyte in size.

Azure Data Lake Analytics is a parallel on-demand job service. The parallel processing system is based on the Microsoft Dryad solution.[3] Dryad can represent arbitrary Directed Acyclic Graphs (DAGs) of computation. Data Lake Analytics provides a distributed infrastructure that can dynamically allocate or de-allocate resources so customers pay for only the services they use.

Azure Data Lake Analytics uses Apache YARN, the central part of Apache Hadoop to govern resource management and deliver operations across the Hadoop clusters. Microsoft Azure Data Lake Store supports any application that uses the open Apache Hadoop Distributed File System (HDFS) standard.[3]

Using Data Lake Analytics, users can develop and run parallel data transformation and processing programs in U-SQL, a query language that combines SQL with C#. U-SQL was designed as an evolution of the declarative SQL language with native extensibility through the user code written in C#. U-SQL uses C# data types and the C# expression language.

• Data lake

• Data Lake on Microsoft Azure