Scala And Spark For Big Data Analytics
by Stefano Baghino /
2017 / English / Kindle
20.6 MB Download
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 Spark
Who This Book Is For
Anyone 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 YARN