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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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Moving from BI to AI

Business intelligence (BI) remains the staple of data analytics. In BI, organizations collect raw transactional from a myriad of data sources and ETL it into a format that is conducive for building operational reports and enterprise dashboards, which depict the overall enterprise over a past period. This also helps business executives make informed decisions on the future strategy of an organization. However, if the amount of transactional data that's been generated has increased by several orders of magnitude, it is difficult (if not impossible) to surface relevant and timely insights that can help businesses make decisions. Moreover, it is also not sufficient to just rely on structured transactional data for business decision-making. Instead, new types of unstructured data, such as customer feedback in the form of natural language, voice transcripts from a customer service center, and videos and images of products and customer reviews need to be considered...

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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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