Spark for Data Science

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0

Key Features

• Perform data analysis and build predictive models on huge datasets that leverage Apache Spark
• Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges
• Work through practical examples on real-world problems with sample code snippets

Book Description

What you will learn

• Consolidate, clean, and transform your data acquired from various data sources
• Perform statistical analysis of data to find hidden insights
• Explore graphical techniques to see what your data looks like
• Use machine learning techniques to build predictive models
• Build scalable data products and solutions
• Start programming using the RDD, DataFrame and Dataset APIs
• Become an expert by improving your data analytical skills

Who this book is for

This book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you!