Submitting a U-SQL Job to Azure Data Lake Analytics

Lab Steps

Logging in to the Microsoft Azure Portal
Uploading a File to an Azure Data Lake Store
Submitting a U-SQL Job to Azure Data Lake Analytics
Inspecting the Results of the Data Lake Analytics Job

Ready for the real environment experience?

Time Limit40m


Big data and analytics in Azure can help you gain insights into your data and deliver better experiences. This Lab demonstrates using two of Azure's big data services:

  1. Azure Data Lake Store for storing massive amounts of structured, semi-structured, and unstructured data, and
  2. Azure Data Lake Analytics for massively parallel analysis of data stored in Data Lake Store.

You will use Data Lake Analytics' U-SQL big data query language to transform website search logs stored in a Data Lake Store and discover which searches take longer than a threshold to complete.

Lab Objectives

Upon completion of this Lab you will be able to:

  • Store data in Azure Data Lake Stores
  • Submit jobs to Azure Data Lake Analytics
  • Understand the trade-off between cost and performance in Azure Data Lake Analytics
  • Explain basic U-SQL queries

Lab Prerequisites

You should be familiar with:

Lab Environment

Before completing the Lab instructions, the environment will look as follows:

After completing the Lab instructions, the environment should look similar to:

About the Author
Learning paths30

Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.