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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Web Content

Azure Documentation

1. Data Lake Analytics Documentation
2. Overview
     2.1. What is Data Lake Analytics?
3. Get started
     3.1. Azure portal
     3.2. Visual Studio
     3.3. Visual Studio Code
     3.4. Azure PowerShell
     3.5. Azure CLI
4. How to
     4.1. Manage Data Lake Analytics
          4.1.1. Azure portal
          4.1.2. Command line
               4.1.2.1. Azure CLI
               4.1.2.2. Azure PowerShell
          4.1.3. SDKs
               4.1.3.1. .NET
               4.1.3.2. Python
               4.1.3.3. Java
               4.1.3.4. Node.js
          4.1.4. Policies
          4.1.5. Access diagnostic logs
          4.1.6. Adjust quota limits
     4.2. Develop U-SQL programs
          4.2.1. U-SQL language
               4.2.1.1. Basics
               4.2.1.2. Language reference
               4.2.1.3. Catalog
               4.2.1.4. User-defined operators
               4.2.1.5. Python extensions
               4.2.1.6. R extensions
               4.2.1.7. Cognitive extensions
               4.2.1.8. Programmability guide
          4.2.2. U-SQL SDK
               4.2.2.1. Local run & debug
               4.2.2.2. Run & test
          4.2.3. Visual Studio
               4.2.3.1. Install
               4.2.3.2. Browse and view jobs
               4.2.3.3. Debug custom C# code
               4.2.3.4. Troubleshoot recurring jobs
               4.2.3.5. Vertex execution details
               4.2.3.6. Export U-SQL database
               4.2.3.7. Analyze website logs
               4.2.3.8. Resolve data-skew
               4.2.3.9. Monitor and troubleshoot jobs
          4.2.4. Visual Studio Code
               4.2.4.1. Authoring
               4.2.4.2. Custom code
               4.2.4.3. Local run & debug
5. Reference
     5.1. Azure PowerShell
     5.2. .NET
     5.3. Node.js
     5.4. Python
     5.5. REST
     5.6. CLI
6. Resources
     6.1. Azure Data Lake Blog
     6.2. Azure Roadmap
     6.3. Request changes
     6.4. MSDN Forum
     6.5. Pricing
     6.6. Pricing calculator
     6.7. Service updates
     6.8. Stack Overflow
     6.9. Videos
     6.10. Code samples

Online Training Content

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

Tools

Tool Description

Videos

Date Title Length
4/12/2018
Using Azure Data Lake to analyze IoT Data
0:13:40
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

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