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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

Spark connectivity to SQL analysis tools

SQL analysis tools, as the same suggests, are tools with interfaces suited for quick and easy SQL analysis. They let you connect to an RDBMS, sometimes even multiple RDBMSes, at the same time, and browse through various databases, schemas, tables, and columns. They even help you visually analyze tables and their structure. They also have interfaces designed to perform SQL analysis quickly with multiple windows that let you browse tables and columns on one side, compose a SQL query in another window, and look at the results in another window. Once such SQL analysis tool, called SQL Workbench/J, is shown in the following screenshot:

Figure 13.2 – SQL Workbench/J interface

The previous screenshot depicts the interface of SQL Workbench/J, which represents a typical SQL editor interface with a database, schema, table, and column browser on the left-hand side pane. The top pane has a text interface for composing actual...

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