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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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Building data ingestion pipelines in batch and real time

An end-to-end data ingestion pipeline involves reading data from data sources and ingesting it into a data sink. In the context of big data and data lakes, data ingestion involves a large number of data sources and, thus, requires a data processing engine that is highly scalable. There are specialist tools available in the market that are purpose-built for handling data ingestion at scale, such as StreamSets, Qlik, Fivetran, Infoworks, and more, from third-party vendors. In addition to this, cloud providers have their own native offerings such as AWS Data Migration Service, Microsoft Azure Data Factory, and Google Dataflow. There are also free and open source data ingestion tools available that you could consider such as Apache Sqoop, Apache Flume, Apache Nifi, to name a few.

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Apache Spark is good enough for ad hoc data ingestion, but it is not a common industry practice to use Apache Spark as a dedicated data ingestion...

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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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