hands-on lab

Submitting a U-SQL Job to Azure Data Lake Analytics

Difficulty: Beginner

Duration: Up to 40 minutes

Students: 567

Rating: 4.5/5

This lab is currently under maintenance and unavailable. We are actively working to resolve this issue and we apologize for any inconvenience.

This lab will no be available after February 29th, 2024 due to the Azure Data Lake Analytics depreciation. Azure recommends Azure Synapse Analytics to be used in place of Azure Data Lake Analytics. This service is covered in the Using Azure Synapse Analytics to Query Data Lake lab.

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Description

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:

Azure Data Lake Store for storing massive amounts of structured, semi-structured, and unstructured data, and
Azure Data Lake Analytics for massively parallel analysis of data stored in Data Lake Store.
- Azure Data Lake Analytics will be retired on February 29th, 2024. Please see https://aka.ms/adlaqa for more details.

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