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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
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Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex

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Building a logical folder structure

We learned about efficient folder structures in Chapter 2, Designing a Data Storage Structure, where we explored the best practices for storing data for batch processing and streaming scenarios. The rule of thumb is to store the data in a hierarchical date folder structure, with the date part added toward the end, as shown here:

{Region}/{SubjectMatter(s)}/{yyyy}/{mm}/{dd}/{hh}/

We can have more intermediate folders in the folder path based on our business requirements. Please refer to Chapter 2, Designing a Data Storage Structure, to refresh your memory on designing efficient folder structures.

To create a container on Azure Data Lake Gen 2, you can use the following command via the Azure CLI:

az storage fs create -n <container name> --account-name <account name> --auth-mode login

Once you have created a container, you can easily create folders in it by using the following command:

az storage fs directory create -n...
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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex