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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
Tools
Azure
Concepts
Big Data
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Author (1)
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.
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Designing a batch processing solution

In Chapter 2, Designing a Data Storage Structure, we learned about the data lake architecture. I've presented the diagram here again for convenience. In the following diagram, there are two branches, one for batch processing and the other for real-time processing. The part highlighted in green is the batch processing solution for a data lake. Batch processing usually deals with larger amounts of data and takes more time to process compared to stream processing.

Figure 9.1 – Batch processing architecture

A batch processing solution typically consists of five major components:

  • Storage systems such as Azure Blob storage, ADLS Gen2, HDFS, or similar
  • Transformation/batch processing systems such as Spark, SQL, or Hive (via Azure HDInsight)
  • Analytical data stores such as Synapse Dedicated SQL pool, Cosmos DB, and HBase (via Azure HDInsight)
  • Orchestration systems such as ADF and Oozie (via Azure...
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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069
© 2022 Packt Publishing Limited All Rights Reserved

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

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