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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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Consolidating data using data integration

Data integration is an important step in both the ETL and ELT modes of data processing. Data integration is the process of combining and blending data from different data sources to create enriched data that happens to represent a single version of the truth. Data integration is different from data ingestion because data ingestion simply collects data from disparate sources and brings it to a central location, such as a data warehouse. On the other hand, data integration combines those disparate data sources to create a meaningful unified version of the data that represents all the dimensions of the data. There are multiple ways to perform data integration, and a few of them will be explored in this section.

Data consolidation via ETL and data warehousing

Extracting, transforming, and loading data into data warehouses has been the best technique of data integration over the last few decades. One of the primary goals of data consolidation...

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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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