Azure Data lake analytics

Azure Data Lake analytics an analytics job provider which simplifies big data analytics on demand. service that works on-demand basis. Operational distributed infrastructure is maintained by Azure Data Lake analytics, so you can focus on jobs like writing, running, and management. To transform data and extract valuable insights you need to write queries instead of looking at deployment, configuration, and tuning hardware. Instantly jobs of any scale can be handled by analytics service by calculating the power needed by you. It's cost effective as you only pay when it runs. Azure Active Directory is supported by analytics service. U-SQL is also included, it gives you benefits of SQL with user code expressive power.

Capabilities

Scaling Dynamically

For performance and cloud scale, Data Lake Analytics is architecture. Resources are provisioned dynamically and you can perform analytics on terabytes of data. It looses down resources automatically when the job completed due to which you only pay for what processing power you use. You don't need to rewrite code when the size of stored data is increased or decreased or amount of computing resources is used. You don't need to worry about storage or processing of large data sets rather you can concentrate on business logic.

Using familiar tools you can develop faster, debug and optimize smarter - Visual Studio is deeply integrated with Data Lake Analytics, so familiar tools can be used to run, debug and tune the code. You can watch how your code runs at scale by visualization of U-SQL, so identification of bottlenecks becomes easy cost can be optimised.

U-SQL

A query language which is an extension of SQL through expressive power of C#. The building blocks of U-SQL are on the same distributed runtime that provides power to big data system inside Microsoft. The developers with skills in .NET and SQL can process and analyze data by same knowledge required for .NET and SQL.

IT investment integration

Existing IT investment can be used by Data Analytics for security, management, identity, and data warehousing. Data governance is simplified by this approach and current data application can be extended easily. Active Directory which comes with built-in monitoring and auditing is integrated with Data Lake Analytics for permissions and user management.

Cost-effective

For running big data workloads, Data Lake Analytics is a cost-effective solution. When data is processed you pay for per job basis. There is no requirement for hardware, service-specific support agreements, and licenses. As job starts and completes the system scales up or down automatically, so you don't need to pay for more than you need.

Integrated with Azure Data

Azure Data Lake and Data Lake Analytics come with work optimization feature, which provides performance of highest level, parallelization, and throughput for workloads of big data.

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