Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3

iebukes PACKT 198 次浏览 , 没有评论
Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3 Front Cover

Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3

by Sreeram Nudurupati
  • Length: 322 pages
  • Edition: 1
  • Publisher: Packt Publishing
  • Publication Date: 2021-10-29
  • ISBN-10: 1800568878
  • ISBN-13: 9781800568877
  • Sales Rank: #703317 (See Top 100 Books)
Description

Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale

Key Features

  • Discover how to convert huge amounts of raw data into meaningful and actionable insights
  • Use Spark’s unified analytics engine for end-to-end analytics, from data preparation to predictive analytics
  • Perform data ingestion, cleansing, and integration for ML, data analytics, and data visualization

Book Description

Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark’s Python language API, which offers Python developers an easy-to-use scalable data analytics framework.

Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You’ll begin your analytics journey with the data engineering process, learning how to perform data ingestion, cleansing, and integration at scale. This book helps you build real-time analytics pipelines that help you gain insights faster. You’ll then discover methods for building cloud-based data lakes, and explore Delta Lake, which brings reliability to data lakes. The book also covers Data Lakehouse, an emerging paradigm, which combines the structure and performance of a data warehouse with the scalability of cloud-based data lakes. Later, you’ll perform scalable data science and machine learning tasks using PySpark, such as data preparation, feature engineering, and model training and productionization. Finally, you’ll learn ways to scale out standard Python ML libraries along with a new pandas API on top of PySpark called Koalas.

By the end of this PySpark book, you’ll be able to harness the power of PySpark to solve business problems.

What you will learn

  • Understand the role of distributed computing in the world of big data
  • Gain an appreciation for Apache Spark as the de facto go-to for big data processing
  • Scale out your data analytics process using Apache Spark
  • Build data pipelines using data lakes, and perform data visualization with PySpark and Spark SQL
  • Leverage the cloud to build truly scalable and real-time data analytics applications
  • Explore the applications of data science and scalable machine learning with PySpark
  • Integrate your clean and curated data with BI and SQL analysis tools

Who this book is for

This book is for practicing data engineers, data scientists, data analysts, and data enthusiasts who are already using data analytics to explore distributed and scalable data analytics. Basic to intermediate knowledge of the disciplines of data engineering, data science, and SQL analytics is expected. General proficiency in using any programming language, especially Python, and working knowledge of performing data analytics using frameworks such as pandas and SQL will help you to get the most out of this book.

Table of Contents

  1. Distributed Computing Primer
  2. Data Ingestion
  3. Data Cleansing and Integration
  4. Real-time Data Analytics
  5. Scalable Machine Learning with PySpark
  6. Feature Engineering – Extraction, Transformation, and Selection
  7. Supervised Machine Learning
  8. Unsupervised Machine Learning
  9. Machine Learning Life Cycle Management
  10. Scaling Out Single-Node Machine Learning Using PySpark
  11. Data Visualization with PySpark
  12. Spark SQL Primer
  13. Integrating External Tools with Spark SQL
  14. The Data Lakehouse

Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3

 

 亲,网盘文件已删,下载链接已失效


因为,我,失业了!于是我老家十八线小县城找了份掏下水道的工作。。。
 
为了生活
 
我决定将iebueks电子网站由免费改为赞助入群:
 
一年45元
 
从百度网盘群满之日算起。
 
这45元除了最新的英文IT电子书,还包括:

免费找书服务,中文英文皆可

国内出版社出版的中文电子书  
中文电子书
2022年公考资料
2022年公考资料
2023年考研学习资料
2023年考研学习资料
人人素材网各种视频素材模板以及中文字幕教程
人人素材网

入群指南


扫描下面二维码关注微信公众号获取资源

微信公众号二维码

发表评论

您的电子邮箱地址不会被公开。 必填项已用*标注

Go