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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

Introduction to Enterprise Decision Support Systems

An Enterprise Decision Support System (Enterprise DSS) is an end-to-end data processing system that takes operational and transactional data generated by a business organization and converts them into actionable insights. Every Enterprise DSS has a few standard components, such as data sources, data sinks, and data processing frameworks. An Enterprise DSS takes raw transactional data as its input and converts this into actionable insights such as operational reports, enterprise performance dashboards, and predictive analytics.

The following diagram illustrates the components of a typical Enterprise DSS in a big data context:

Figure 2.1 – The Enterprise DSS architecture

A big data analytics system is also an Enterprise DSS operating at much larger Volumes, with more Variety of data, and arriving at much faster Velocity. Being a type of Enterprise DSS, a big data analytics system has components that...

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