Azure Data Lake 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. Azure Data Lake Analytics Learning Path
    10/3/2016, Webpage
  2. Introducing Azure Data Lake
    11/21/2016, Mva
  3. U-SQL: 0-60 for Big Data with .NET
    3/27/2016, Video, 0:18:04

Azure Documentation

1. Overview
     1.1. What is Data Lake Analytics?
2. Get started
     2.1. Azure portal
     2.2. Visual Studio
     2.3. PowerShell
     2.4. Azure CLI 2.0
3. How to
     3.1. Manage Data Lake Analytics accounts
          3.1.1. Azure portal
          3.1.2. Azure CLI
          3.1.3. 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
     3.2. 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. Use the U-SQL Interactive tutorial
     3.3. Debug U-SQL programs
          3.3.1. Monitor and troubleshoot jobs
          3.3.2. Debug C# code in U-SQL
          3.3.3. Use Job Browser and Job View
          3.3.4. Use Vertex Execution View
4. Reference
     4.1. PowerShell
     4.2. .NET
     4.3. Node.js
     4.4. Python
     4.5. REST
     4.6. CLI 2.0
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. Service updates
     5.7. Stack Overflow

Online Training Content

Date Title
5/24/2017 Processing Big Data with Azure Data Lake Analytics
11/21/2016 Introducing Azure Data Lake


Tool Description
Azure Data Lake Tools for Visual Studio Azure Data Lake Tools for Visual Studio


Date Title