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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.
Read more about Newton Alex

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Configuring checkpoints/watermarking during processing

Let's look at the checkpointing options available in ASA, Event Hubs, and Spark.

Checkpointing in ASA

ASA does internal checkpointing periodically. Users do not need to do explicit checkpointing. The checkpointing process is used for job recoveries during system upgrades, job retries, node failures, and more.

During node failures or OS upgrades, ASA automatically restores the failed node state on a new node and continues processing.

Note

During ASA service upgrades (not OS upgrades), the checkpoints are not maintained, and the stream corresponding to the downtime needs to be replayed.

Next, let's look at how to checkpoint in Event Hubs.

Checkpointing in Event Hubs

Checkpointing or watermarking in Event Hubs refers to the process of marking the offset within a stream or partition to indicate the point up to where the processing is complete. Checkpointing in Event Hubs is the responsibility of the...

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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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