Azure Data Lake

Azure Data Lake Store is the repository of workloads for big data. For operational and exploratory analysis you can lockup data of any size, type and ingestion speed at a single place.Data Lake Store is accessed by use of Hadoop. The target of the design is to do stored data analytics and performance tuner for scenarios of data analytics. All enterprise-grade capabilities are included which are essential for the real world.

The capabilities of Data Lake Store:

Hadoop Specific

Works with Hadoop ecosystem, Data Lake Store is an Apache Hadoop file system with Hadoop Distributed File System. It can easily integrate with services where WebHDFS API is used and HDInsight application. You can easily analyze data stored in Data Lake Store using analytic framework by Hadoop which includes Map Reduce or Hive. Data in Data Lake Store can be easily accessed by HDInsight through a permission and configuration changes.

Storage is unlimited

Variety of data analytics can be stored in the unlimited storage provided by Azure Data Lake Store. There are no restrictions on file size or the amount of data to be stored. It's a great choice for all as file sizes from kilobytes to petabytes can be stored here easily. By making multiple copies your data storage is made durable and you can store data for as much time as you want.

Tuned performance

Queries require massive throughput to run large-scale analytics system. Over a number of an individual storage server, the parts of your files are distributed. This enhances the read throughput when in a parallel reading file is done for doing data analytics.

High Availability and security

The availability and reliability are industry standard. To guard unexpected failure, the data is durably stored. Solutions for their existing data platform, the enterprise can use Data Lake Store. Enterprise-grade security is provided for stored data.

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