Author Description

Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye!About This Book• Learn Scala's sophisticated type system that combines Functional Programming and object-oriented concepts• Work on a wide array of applications, from simple batch jobs to stream processing and machine learning• Explore the most common as well as some complex use-cases to perform large-scale data analysis with SparkWho This Book Is ForAnyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker.What You Will Learn• Understand object-oriented & functional programming concepts of Scala• In-depth understanding of Scala collection APIs• Work with RDD and DataFrame to learn Spark's core abstractions• Analysing structured and unstructured data using SparkSQL and GraphX• Scalable and fault-tolerant streaming application development using Spark structured streaming• Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML• Build clustering models to cluster a vast amount of data• Understand tuning, debugging, and monitoring Spark applications• Deploy Spark applications on real clusters in Standalone, Mesos, and YARNIn DetailScala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you.The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It t