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. Introducing Azure Data Lake
    8/6/2017, Mva
  4. U-SQL: 0-60 for Big Data with .NET
    3/27/2016, Video, 0:18:04



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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. Azure PowerShell
     2.4. 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 for Visual Studio Code
     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

Online Training Content

Date Title
8/6/2017 Introducing Azure Data Lake
5/24/2017 Processing Big Data with Azure Data Lake Analytics
11/21/2016 Introducing Azure Data Lake

Tools

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

Videos

Date Title Length
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
4/6/2017 Debugging C# user code in a U-SQL query locally 0:13:15

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