Azure Data Lake Analytics

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Overview

Overview

Azure Data Lake Analytics is a new service, built to make big data analytics easy. This service lets you focus on writing, running and managing jobs, rather than operating distributed infrastructure. Instead of deploying, configuring and tuning hardware, you write queries to transform your data and extract valuable insights. The analytics service can handle jobs of any scale instantly by simply setting the dial for how much power you need. You only pay for your job when it is running making it cost-effective. The analytics service supports Azure Active Directory letting you simply manage access and roles, integrated with your on-premises identity system. It also includes U-SQL, a language that unifies the benefits of SQL with the expressive power of user code. U-SQL’s scalable distributed runtime enables you to efficiently analyze data in the store and across SQL Servers in Azure, Azure SQL Database and Azure SQL Data Warehouse.

Getting Started

Getting Started

  1. 10/3/2016, Webpage
    Azure Data Lake Analytics is built to make big data analytics easy. This service lets you focus on writing, running and managing jobs, rather than operating distributed...
  2. 11/21/2016, Trainings
    Wondering how Azure Data Lake enables developer productivity? Get the details in this course, which explores the sophisticated tooling and language design in Azure Data Lake....
  3. 8/6/2017, Trainings
    Whether you’re brand new to Azure Data Lake or already developing on the system, don’t miss this lively and helpful course hosted by expert Nishant Thacker, who promises tons...
  4. 3/27/2016, Video, 0:18:04
    With Azure Data Lake we’re introducing a new SQL-based language called U-SQL, that combines the familiarity of SQL with C# extensions to make Big Data processing easy, and...

Azure Data Lake Analytics News

In this week’s episode, Jeffrey Palermo is talking to Jonathan Mills — a Pluralsight Author, Technology Advisor, and Business Leader!    As a member of the Multi-Cloud Team team at World Wide...