Scala and Spark for Big Data Analytics

This comprehensive book introduces you to the world of big data analytics using Scala and Spark. Starting from foundational programming concepts, you'll dive deep into using Spark for data processing, stream handling, and machine learning. By the end, you'll be empowered to manage large-scale data analysis and develop seamless, productive applications.

What this Book will help me do

• Master the essentials of Scala, including object-oriented and functional programming paradigms.
• Understand and utilize Spark's core concepts, such as RDD and DataFrames, for efficient data handling.
• Develop resilient streaming applications using Spark structured streaming.
• Apply machine learning techniques in Spark MLlib for classification, regression, and clustering.
• Experience deploying, debugging, and monitoring Spark applications in real-world scenarios.

Author(s)

Sridhar Alla and None Karim are experienced authors and practitioners in the domain of big data and analytics. Sridhar has extensive knowledge of Spark and Scala and practical experience applying these technologies in the field. Both authors focus on creating structured and actionable learning experiences for data professionals.

Who is it for?

This book is ideal for data professionals, engineers, and aspiring data scientists looking to leverage Scala and Spark for big data processing. Newcomers to Spark and Scala, as well as those with prior programming experience in other JVM languages, will find the content accessible. Readers who aim to create scalable applications for data analysis and learn best practices in machine learning domains will benefit the most.