Introduction to Microsoft Azure Data Lake
You can use Microsoft Azure Data Lake to store data irrespective of size, structure, and format. Use Microsoft Azure Data Lake to process large volumes of data to achieve faster business outcomes.
The Microsoft Azure Data Lake is a combination of following primary services:
- •Microsoft Azure Data Lake Store: Microsoft Azure Data Lake is an Hadoop Distributed File System (HDFS) compatible data repository that stores structured, semi structured, and unstructured data of your organization in native format. Data scientists and data analysts can use data in the Data Lake to find out specific patterns before you move the analyzed data to a data warehouse.
- •Azure HDinstight: Azure HDInsight is an Apache Hadoop distributed system that is configured with cloud. HDinsight supports the Hadoop components such as Apache HBase, Apache Spark, and Apache Storm and other technologies under the Hadoop system.
- •Data Lake Analytics: Data Lake Analytics manages the distributed infrastructure. You can dynamically allocate and de-allocate resources with Microsoft Azure Data Lake Analytics so that you can pay for services that you use.