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. Interactive tutorial: Analyze website logs
     2.2. Azure portal
     2.3. PowerShell
     2.4. .NET SDK
     2.5. Java SDK
     2.6. Visual Studio
     2.7. Azure CLI
     2.8. Azure CLI 2.0
     2.9. REST API
     2.10. Python
3. How to
     3.1. Develop
          3.1.1. U-SQL
          3.1.2. U-SQL window functions
          3.1.3. U-SQL user-defined operators
          3.1.4. U-SQL Python extensions
          3.1.5. U-SQL Cognitive capabilities
     3.2. Create solutions
          3.2.1. Analyze website logs
     3.3. Manage
          3.3.1. Azure portal
          3.3.2. Azure CLI
          3.3.3. PowerShell
          3.3.4. .NET SDK
          3.3.5. Node.js
          3.3.6. U-SQL Catalog to structure code and data
     3.4. Troubleshoot
          3.4.1. Monitor and troubleshoot jobs
          3.4.2. Access diagnostic logs
          3.4.3. Debug C# code in U-SQL
          3.4.4. Use Job Browser and Job View
          3.4.5. Use Vertex Execution View
4. Reference
     4.1. PowerShell
     4.2. .NET
     4.3. Node.js
     4.4. Python
     4.5. U-SQL
     4.6. REST
     4.7. CLI 2.0
5. Resources
     5.1. Service updates
     5.2. Pricing
     5.3. MSDN Forum
     5.4. Stack Overflow
     5.5. Give feedback on UserVoice
     5.6. Azure Data Lake Blog

Microsoft Virtual Academy (MVA)

Date Title
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