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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

Importance of data visualization

Data visualization is the process of translating data into a pictorial representation in the form of graphs, charts, or maps. This makes it easier for the human mind to comprehend complex information. Typically, data visualization is the final stage of business analytics and the first step of any data science process. Though there are professionals who deal solely with data visualizations, any data professional needs to be able to understand and produce data visualizations. They help convey complex patterns that are hidden within data in an easy-to-understand way to business users. Every business needs information for optimal performance, and data visualization helps businesses make easier data-driven decisions by representing relationships between datasets in a visual way and surfacing actionable insights. With the advent of big data, there has been an explosion of both structured and unstructured data, and it is difficult to make sense of it without...

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