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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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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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Upserting data

Upserting refers to the INSERT or UPDATE activity in a database or any analytical data store that supports it. We have already seen UPSERT as part of the batch activity, in the Upserting data section of Chapter 9, Designing and Developing a Batch Processing Solution. ASA supports UPSERT with CosmosDB. CosmosDB is a fully managed, globally distributed No-SQL database. We will learn more about CosmosDB in Chapter 14, Optimizing and Troubleshooting Data Storage and Data Processing, in the Implementing HTAP using Synapse Link and CosmosDB section.

ASA has two different behaviors based on the compatibility level that is set. ASA supports three different compatibility levels. You can think of compatibility levels as API versions. As and when ASA evolved, the compatibility levels increased. 1.0 was the first compatibility version, and 1.2 is the latest compatibility version. The main change in version 1.2 is the support for the AMQP messaging protocol.

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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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