Azure Data Lake Analytics is a suite of three big data services in Microsoft Azure: HDInsight, Data Lake Store, and Data Lake Analytics. These fully managed services make it easy to get started and easy to scale big data jobs written in Hive, Pig, Spark, Storm, and U-SQL.
Azure Data Lake Analytics is a suite of three big data services in Microsoft Azure: HDInsight, Data Lake Store, and Data Lake Analytics. These fully managed services make it easy to get started and easy to scale big data jobs written in, U-SQL, Apache Hive, Pig, Spark, and Storm.
- HDInsight is a fully managed, monitored and supported Apache Hadoop service, bringing the power of Hadoop clusters to you with a few clicks.
- Data Lake Store is a cloud scale service designed to store all data for analytics. The Data Lake Store allows for petabyte sized files, and unlimited accounts sizes, surfaced through an HDFS API enabling any Hadoop component to access data. Additionally, date in Data Lake Store is protected via ACL's that can be tied to an OAuth2 based identity, including those from your on-premises Active Directory.
- Data Lake Analytics is a distributed service built on Apache YARN that dynamically scales on demand while you only pay for the job that is running. Data Lake Analytics also includes U-SQL, a language designed for big data, keeping the familiar declarative syntax of SQL, easily extended with user code authored in C#.
To learn more, check out: https://azure.microsoft.com/en-us/solutions/data-lake/