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Essential PySpark for Scalable Data Analytics

You're reading from   Essential PySpark for Scalable Data Analytics A beginner's guide to harnessing the power and ease of PySpark 3

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800568877
Length 322 pages
Edition 1st Edition
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Author (1):
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Sreeram Nudurupati Sreeram Nudurupati
Author Profile Icon Sreeram Nudurupati
Sreeram Nudurupati
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Data Engineering
2. Chapter 1: Distributed Computing Primer FREE CHAPTER 3. Chapter 2: Data Ingestion 4. Chapter 3: Data Cleansing and Integration 5. Chapter 4: Real-Time Data Analytics 6. Section 2: Data Science
7. Chapter 5: Scalable Machine Learning with PySpark 8. Chapter 6: Feature Engineering – Extraction, Transformation, and Selection 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Unsupervised Machine Learning 11. Chapter 9: Machine Learning Life Cycle Management 12. Chapter 10: Scaling Out Single-Node Machine Learning Using PySpark 13. Section 3: Data Analysis
14. Chapter 11: Data Visualization with PySpark 15. Chapter 12: Spark SQL Primer 16. Chapter 13: Integrating External Tools with Spark SQL 17. Chapter 14: The Data Lakehouse 18. Other Books You May Enjoy

Summary

In this chapter, you were introduced to the need for real-time data analytics systems and the advantages they have to offer in terms of getting the freshest data to business users, helping businesses improve their time to market, and minimizing any lost opportunity costs. The architecture of a typical real-time analytics system was presented, and the major components were described. A real-time analytics architecture using Apache Spark's Structured Streaming was also depicted. A few examples of prominent industry use cases of real-time data analytics were described. Also, you were introduced to a simplified Lambda Architecture using the combination of Structured Streaming and Delta Lake. The use case for CDC, including its requirements and benefits, was presented, and techniques for ingesting CDC data into Delta Lake were presented along with working examples leveraging Structured Streaming for implementing a CDC use case.

Finally, you learned a technique for progressively...

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