Azure Data Lake Analytics, is a powerful on-demand analytics job service on Microsoft Azure. By reading this article, you can learn Azure Data Analytics by Example.
Since this is an introductory article on Azure Data Lake Analytics, the example that will be presented, will be a simple one just to showcase the technology. The rest is left to your imagination and creativity!
More specifically, in this simple example, I will create and submit for execution 2 jobs:
- Job 1
- Create a sample database and table
- Populate the table with sample data
- Job 2
- Query the sample table and extract the data into a .csv file
Learn more about Azure SQL Database: Enroll to our Online Course!
Check our online course on Udemy titled “Introduction to Azure SQL Database for Beginners”
(special limited-time discount included in link).
Our course, will help you get started with Azure SQL Database and SQL Server on Azure Virtual Machines fast and easy. Many live demos included.
Creating an Azure Data Lake Analytics Account
Step 1: Create a new resource
The first step, is to create an Azure Data Lake Analytics account, in case you don’t already have one.
You can easily do this, by creating a new resource – Data Lake Analytics:
Then, you will need to specify some details, as shown in the below screenshot:
Right after the above steps, within a few minutes, the Azure Data Lake Analytics account is ready for use:
Step 2: Configure firewall
The next step is to configure the Firewall rules for the newly created Azure Data Lake Analytics account. In my example, I have just added the IP of my client.
Creating and Submitting Jobs on Azure Data Lake Analytics
Now that the Azure Data Lake Analytics account is ready to accept jobs for execution, let’s create and submit a new job.
Define First Job
As mentioned earlier, in this example I will create and submit for execution 2 simple jobs.
The first job is to create a sample database and table, and then populate it with sample data.
So, in order to create the job, within the Azure Data Lake Analytics account, you click on the link “New job”.
Then, in this example, I used U-SQL, in order to define the job:
Submit First Job for Execution
After submitting the job for execution, I can see that it was successfully executed.
Below, you can see the relevant job graph that illustrates the job’s execution steps, as created by the powerful engine behind Azure Data Lake Analytics.
Moreover, in the “AU analysis” tab, you can get more statistics and shortcuts to further optimize your job (i.e. for performance, balanced execution, etc.).
Now, let’s check also via Data Explorer, to see our table:
Define Second Job
Now, let’s define the second which will extract the data from the sample table into a .csv file.
This time, I have created the job right from within Data Explorer:
Submit Second Job for Execution
After submitting the second job for execution, again, I can see that it was successfully executed.
Below, you can see the relevant job graph that illustrates the job’s execution steps:
Check the Second Job’s Outcome
Let’s check the second job’s outcome. As you can see in the below screenshot, the .csv file has been successfully created, and we can check its contents:
When we click on “Job insights”, we can see useful information and statistics about our jobs executed in Data Lake Analytics.
Azure Data Lake Tools
Azure Data Lake Analytics, integrate with many tools that you can use to create and submit different jobs.
For example, if you click on the “Tools” link, you will easily get started with the below tools:
- Data Lake Tools for Visual Studio
- Data Lake Tools for Visual Studio Core
- Azure PowerShell
- Azure CLI
Azure Data Lake Analytics, is a powerful engine, which allows you to create and execute heavy jobs on Microsoft Azure. Depending on the job type, Azure Data Lake Analytics automatically scale, thus making efficient use of its powerful engine, in order to execute the job. Moreover, it provides in-depth insights and statistics, which help you assess each job’s execution, or even change how each jobs should execute.
With Azure Data Lake Analytics, you can process any data (relational, unstructured, big data, and more) through its job system fast and efficiently.
Learn more about Azure SQL Database and get started fast and easy! Through our online course, you will get lifetime access to a comprehensive set of lectures and live demonstrations that will get you started with Azure SQL Database in no time! The course is regularly updated with additional educational material!
Featured Online Courses
- Boost SQL Server Database Performance with In-Memory OLTP
- Essential SQL Server Administration Tips
- SQL Server Fundamentals – SQL Database for Beginners
- Essential SQL Server Development Tips for SQL Developers
- The Philosophy and Fundamentals of Computer Programming
- .NET Programming for Beginners – Windows Forms with C#
- Introduction to Data Science and SQL Server Machine Learning
- Introduction to Azure SQL Database for Beginners
- SQL Server 2019: What’s New – New and Enhanced Features
- Entity Framework: Getting Started – Complete Beginners Guide
- How to Import and Export Data in SQL Server Databases
- Learn How to Install and Start Using SQL Server in 30 Mins
- A Guide on How to Start and Monetize a Successful Blog
- Azure Cosmos DB: Learn by Example
- Learn Azure SQL Database: Creating your First Database
- How to Create an Azure SQL Server Virtual Machine
- How to Backup a SQL Server Database from On-Premises to Azure Storage
- What is Azure Advisor?
- … all our Azure-related articles
Check our latest software releases!
Easily generate SQL code snippets with Snippets Generator!
Convert static T-SQL to dynamic and vice versa with Dynamic SQL Generator.
Secure your SQL Server instances with DBA Security Advisor.
Benchmark SQL Server memory-optimized tables with In-Memory OLTP Simulator.
Rate this article:
Reference: SQLNetHub.com (https://www.sqlnethub.com)
© 2018 SQLNetHub
Artemakis Artemiou is a Senior SQL Server Architect, Author, a 9 Times Microsoft Data Platform MVP (2009-2018) and a Udemy Instructor. He has over 15 years of experience in the IT industry in various roles. Artemakis is the founder of SQLNetHub and TechHowTos.com. Artemakis is the creator of the well-known software tools Snippets Generator and DBA Security Advisor. Also, he is the author of many eBooks on SQL Server. Artemakis currently serves as the President of the Cyprus .NET User Group (CDNUG) and the International .NET Association Country Leader for Cyprus (INETA). Moreover, Artemakis teaches on Udemy, you can check his courses here.