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Submitting a U-SQL Job to Azure Data Lake Analytics

The hands-on lab is part of this learning path

Big Data Analytics on Azure

course-steps 2 certification 1 lab-steps 2

Lab Steps

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

Ready for the real environment experience?

DifficultyBeginner
Duration40m
Students39

Description

Lab Overview

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

Students6161
Labs57
Courses3
Learning paths2

Logan has been involved in software development and research for over eleven years, including six years in the cloud. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.