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You're reading from  Essential PySpark for Scalable Data Analytics

Product typeBook
Published inOct 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568877
Edition1st Edition
Languages
Python
Tools
PySpark
Concepts
Big Data
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Author (1)
Sreeram Nudurupati
Sreeram Nudurupati
author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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Simplifying the Lambda Architecture using Delta Lake

A typical Lambda Architecture has three major components: a batch layer, a streaming layer, and a serving layer. In Chapter 2, Data Ingestion, you were able to view an implementation of the Lambda Architecture using Apache Spark's unified data processing framework. The Spark DataFrames API, Structured Streaming, and SQL engine help to make Lambda Architecture simpler. However, multiple data storage layers are still required to handle batch data and streaming data separately. These separate data storage layers could be easily consolidated by using the Spark SQL engine as the service layer. However, that might still lead to multiple copies of data and might require further consolidation of data using additional batch jobs in order to present the user with a single consistent and integrated view of data. This issue can be overcome by making use of Delta Lake as a persistent data storage layer for the Lambda Architecture.

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Essential PySpark for Scalable Data Analytics
Published in: Oct 2021Publisher: PacktISBN-13: 9781800568877
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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