Hands-On Big Data Analytics with PySpark

More Information
Learn
  • Get practical big data experience while working on messy datasets
  • Analyze patterns with Spark SQL to improve your business intelligence
  • Use PySpark's interactive shell to speed up development time
  • Create highly concurrent Spark programs by leveraging immutability
  • Discover ways to avoid the most expensive operation in the Spark API: the shuffle operation
  • Re-design your jobs to use reduceByKey instead of groupBy
  • Create robust processing pipelines by testing Apache Spark jobs
About

Apache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs.

You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers installing and setting up PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark.

By the end of the book, you will be able to build big data analytical solutions using the various PySpark offerings and also optimize them effectively.

Features
  • Work with large amounts of agile data using distributed datasets and in-memory caching
  • Source data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3
  • Employ the easy-to-use PySpark API to deploy big data Analytics for production
Page Count 182
Course Length 5 hours 27 minutes
ISBN 9781838644130
Date Of Publication 29 Mar 2019

Authors

Rudy Lai

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and Cloud computing.

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Over the past few years, they have worked with some of the World's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.
The company lives by its motto: Data -> Intelligence -> Action.

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Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails for prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed back into how our AI generates content.

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Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.

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In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which you can learn about reinforcement learning and supervised learning topics in depth and in a commercial setting.

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Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.

Bartłomiej Potaczek

Bartłomiej Potaczek is a Software Engineer working for Schibsted Tech Polska and programming mostly in JavaScript. He is a big fan of everything related to the React world, functional programming, and data visualization. He founded and created a portal that allows users to learn to program in a pair-programming fashion. InitLearn helps users find a proper teacher who will devote all his/her time especially to them. Lessons are conducted in a pair-programming fashion, using tools that teach students to program in a collaborative way (for example, Screenhero). He was involved in the InitLearn frontend, which is built on the React-Redux technologies. Besides programming, he plays football and Crossfit. Currently, he is working on rewriting the frontend for tv.nu – Sweden's most complete TV guide with over 200 channels. He has also recently worked on technologies such as React, React Router, and Redux.