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Mastering Big Data Analytics with PySpark

You're reading from Mastering Big Data Analytics with PySpark A comprehensive guide to performing efficient Advanced Analytics with PySpark

Product type Video

Published in Jun 2020

Publisher Packt

ISBN-13 9781838640583

Length 8hrs 7mins

Edition 1st Edition

Languages

Python

Tools

PySpark

Concepts

Big Data

Author (1):

Danny Meijer

View More author details

Table of Contents (9) Chapters

1. Python and Spark: A Match Made in Heaven FREE CHAPTER

2. Working with PySpark

3. Preparing Data Using Spark SQL

4. Machine Learning with Spark MLlib

5. Classification and Regression

6. Analyzing Big Data

7. Processing Natural Language in Spark

8. Machine Learning in Real-Time

9. The Power of PySpark

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Authors (1)

Danny Meijer

Danny Meijer

Danny Meijer works as the Lead Data Engineer in the Netherlands for the Data and Analytics department of a leading sporting goods retailer. He is a Business Process Expert, big data scientist and additionally a data engineer, which gives him a unique mix of skills—the foremost of which is his business-first approach to data science and data engineering. He has over 13-years' IT experience across various domains and skills ranging from (big) data modeling, architecture, design, and development as well as project and process management; he also has extensive experience with process mining, data engineering on big data, and process improvement. As a certified data scientist and big data professional, he knows his way around data and analytics, and is proficient in various types of programming language. He has extensive experience with various big data technologies and is fluent in everything: NoSQL, Hadoop, Python, and of course Spark. Danny is a driven person, motivated by everything data and big-data. He loves math and machine learning and tackling difficult problems.

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