Introduction
This article will cover the following things,
- Brief concepts and Pre-requisites
- Implementation – Create a Data Lake Analytics account
- Implementation – Create a U-SQL job and executing that job on the Data Lake account
Brief concepts and prerequisites
What is Azure Data Lake?
- It is highly scalable data storage and analytics service.
- It is hosted in Azure, Microsoft's public cloud, and is largely intended for Big Data storage and analysis.
- Data Lake is a cloud computing service and gives customers a faster and more efficient alternative to deploying and managing Big Data infrastructure within their own data centers.
Pre-requisites
Read the following article to create Azure account and for some basic information about Azure to get started.
Implementation – Create a Data Lake Analytics account
Steps to be followed
- Open the Azure portal and click on Add >> “Data + Analytics”.
- Click on the Data Lake Analytics and then give the account name, Use the existing resource group and then "Create".
- Also, before that, we need to create “Data Lake Store” and click on the "OK" button.
- See the Data Lake Analytics section for the newly created “data-lake060817”.
Implementation – Create a U-SQL job and executing U-SQL query on the Data Lake account.
Steps to be followed
- From the Data Lake Analytics account, click "New Job".
- Write a simple query of storing the customer and its amount using this job and put into the .csv file, followed by a click on “Submit Job”.
- See the job details with the graph after that.
- Click on the Output tab and click “customer-amount.csv” to see the file.
Happy learning!