Scala Data Analysis Cookbook (new)

"Scala Data Analysis Cookbook" offers a practical approach to mastering data analysis using Scala. With over 100 recipes, this book guides you through implementing Scala for data processing, visualization, and machine learning. You'll learn to use libraries like Spark, Breeze, and Zeppelin effectively while gaining hands-on experience with real-world data challenges.

What this Book will help me do

• Set up and utilize the Breeze and Spark libraries for effective data manipulation.
• Import various data sources and preprocess data efficiently with Scala.
• Apply machine learning algorithms with Scala's Spark ML library.
• Create interactive data visualizations using Zeppelin and Bokeh bindings in Scala.
• Deploy scalable Scala data analysis jobs on cluster environments.

Author(s)

None Manivannan is a practiced technologist and author, specializing in data analysis and Scala. With years of experience leveraging advanced technologies for practical data solutions, they have tailored this book to share deep insights into data science. Their hands-on approach ensures readers will gain real-world skills.

Who is it for?

This book is ideal for data scientists and analysts who are familiar with Scala and wish to expand their skills in data analysis and visualization. Whether you're managing your first major data project or looking to employ machine learning in your analysis, this book has the topics you need. Prior knowledge of Scala is recommended, but the guidance provided ensures that even recent adopters can follow along. If you wish to scale your data solutions effectively, this book is for you.