ADL Analytics

Official Documentation

Service Description

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

  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, Mva
    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, Mva
    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...

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Azure Documentation

1. Overview
     1.1. What is Data Lake Analytics?
2. Get started
     2.1. Azure portal
     2.2. Visual Studio
     2.3. Visual Studio Code
     2.4. Azure PowerShell
     2.5. Azure CLI
3. How to
     3.1. Manage Data Lake Analytics
          3.1.1. Azure portal
          3.1.2. Azure CLI
          3.1.3. Azure PowerShell
          3.1.4. .NET SDK
          3.1.5. Python SDK
          3.1.6. Java SDK
          3.1.7. Node.js
          3.1.8. Access diagnostic logs
          3.1.9. Adjust quota limits
     3.2. Develop U-SQL programs
          3.2.1. U-SQL basics
          3.2.2. U-SQL language reference
          3.2.3. U-SQL catalog
          3.2.4. U-SQL user-defined operators
          3.2.5. U-SQL Python extensions
          3.2.6. U-SQL R extensions
          3.2.7. U-SQL Cognitive extensions
          3.2.8. Analyze website logs
          3.2.9. U-SQL custom code for Visual Studio Code
          3.2.10. U-SQL for Visual Studio Code
          3.2.11. Export U-SQL database
     3.3. Debug U-SQL programs
          3.3.1. Monitor and troubleshoot jobs
          3.3.2. Troubleshoot an abnormal recurring job
          3.3.3. Debug C# code in U-SQL
          3.3.4. Use Job Browser and Job View
          3.3.5. Use Vertex Execution View
          3.3.6. Local run and local debug in VSCode
          3.3.7. U-SQL Programmability Guide
4. Reference
     4.1. Code samples
     4.2. Azure PowerShell
     4.3. .NET
     4.4. Node.js
     4.5. Python
     4.6. REST
     4.7. CLI
5. Resources
     5.1. Azure Data Lake Blog
     5.2. Azure Roadmap
     5.3. Give feedback on UserVoice
     5.4. MSDN Forum
     5.5. Pricing
     5.6. Pricing calculator
     5.7. Service updates
     5.8. Stack Overflow
     5.9. Videos

Online Training Content

Date Title
8/6/2017 Introducing Azure Data Lake
11/21/2016 Introducing Azure Data Lake


Tool Description


Date Title Length
11/15/2017 Core concepts of U-SQL batch query execution in Data Lake Analytics 0:07:25
9/29/2017 Run Python, R and .NET code at Data Lake scale with U-SQL in Azure Data Lake 1:04:31
7/25/2017 Cloud Tech 10 - 24th July 2017 - Analysis Services Web Designer, Data Lake Policies & more ... 0:05:04
5/16/2017 Understanding the U-SQL Batch Job Execution Lifetime 0:30:20
5/10/2017 Lambda Architecture for Connected Car Fleet Management 0:00:00
5/10/2017 Lift and shift any runtime into U-SQL for large scale processing 0:24:19
5/4/2017 Image processing at scale using U-SQL in Azure Data Lake 0:22:22
5/4/2017 Machine Learning for developers, how to build even more intelligent apps and services 0:50:27
5/4/2017 How to run AI at Petabyte Scale with cognitive functions in the Azure Data Lake 1:00:31
5/2/2017 What Is New in U-SQL for March '17 0:16:21

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