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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
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Author (1)
Sreeram Nudurupati
Sreeram Nudurupati
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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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Section 3: Data Analysis

Once we have clean and integrated data in the data lake and have trained and built machine learning models at scale, the final step is to convey actionable insights to business owners in a meaningful manner to help them make business decisions. This section covers the business intelligence (BI) and SQL Analytics part of data analytics. It starts with various data visualization techniques using notebooks. Then, it introduces you to Spark SQL to perform business analytics at scale and shows techniques to connect BI and SQL Analysis tools to Apache Spark clusters. The section ends with an introduction to the Data Lakehouse paradigm to bridge the gap between data warehouses and data lakes to provide a single, unified, scalable storage to cater to all aspects of data analytics, including data engineering, data science, and business analytics.

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Essential PySpark for Scalable Data Analytics
Published in: Oct 2021Publisher: PacktISBN-13: 9781800568877
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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