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The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake
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The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake

by Ron L'Esteve
July 2022
Beginner to intermediate
467 pages
10h 39m
English
Apress
Content preview from The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
R. L'EsteveThe Azure Data Lakehouse Toolkithttps://doi.org/10.1007/978-1-4842-8233-5_10

10. Live Tables

Ron L’Esteve1  
(1)
Chicago, IL, USA
 

Building performant, scalable, maintainable, reliable, and testable live Data Lakehouse ELT pipelines in Azure is a critical need for many customers. These pipelines should support custom-defined ELT scripts, task orchestration, monitoring, and more. Within Azure, Data Factory and Databricks support many of these ELT capabilities and possess robust feature sets. Databricks Delta Live Tables enable data engineers to define live data pipelines using a series of Apache Spark tasks. Additionally, with Delta Live Tables, developers ...

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Publisher Resources

ISBN: 9781484282335Purchase LinkPublisher Website