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Scala and Spark for Big Data Analytics
Scala and Spark for Big Data Analytics

Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning

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Profile Icon Karim Profile Icon Sridhar Alla
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S$68.99 S$76.99
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.8 (12 Ratings)
eBook Jul 2017 796 pages 1st Edition
eBook
S$68.99 S$76.99
Paperback
S$95.99
Subscription
Free Trial
Arrow left icon
Profile Icon Karim Profile Icon Sridhar Alla
Arrow right icon
S$68.99 S$76.99
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.8 (12 Ratings)
eBook Jul 2017 796 pages 1st Edition
eBook
S$68.99 S$76.99
Paperback
S$95.99
Subscription
Free Trial
eBook
S$68.99 S$76.99
Paperback
S$95.99
Subscription
Free Trial

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Scala and Spark for Big Data Analytics

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Key benefits

  • 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

Description

Scala 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 then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.

Who is this book 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 25, 2017
Length: 796 pages
Edition : 1st
Language : English
ISBN-13 : 9781783550500
Vendor :
Apache
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Languages :
Concepts :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
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Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
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Product Details

Publication date : Jul 25, 2017
Length: 796 pages
Edition : 1st
Language : English
ISBN-13 : 9781783550500
Vendor :
Apache
Category :
Languages :
Concepts :

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Frequently bought together


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Total S$ 259.97
Scala and Spark for Big Data Analytics
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Scala for Machine Learning, Second Edition
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Mastering Apache Spark 2.x
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Total S$ 259.97 Stars icon

Table of Contents

18 Chapters
Introduction to Scala Chevron down icon Chevron up icon
Object-Oriented Scala Chevron down icon Chevron up icon
Functional Programming Concepts Chevron down icon Chevron up icon
Collection APIs Chevron down icon Chevron up icon
Tackle Big Data – Spark Comes to the Party Chevron down icon Chevron up icon
Start Working with Spark – REPL and RDDs Chevron down icon Chevron up icon
Special RDD Operations Chevron down icon Chevron up icon
Introduce a Little Structure - Spark SQL Chevron down icon Chevron up icon
Stream Me Up, Scotty - Spark Streaming Chevron down icon Chevron up icon
Everything is Connected - GraphX Chevron down icon Chevron up icon
Learning Machine Learning - Spark MLlib and Spark ML Chevron down icon Chevron up icon
My Name is Bayes, Naive Bayes Chevron down icon Chevron up icon
Time to Put Some Order - Cluster Your Data with Spark MLlib Chevron down icon Chevron up icon
Text Analytics Using Spark ML Chevron down icon Chevron up icon
Spark Tuning Chevron down icon Chevron up icon
Time to Go to ClusterLand - Deploying Spark on a Cluster Chevron down icon Chevron up icon
Testing and Debugging Spark Chevron down icon Chevron up icon
PySpark and SparkR Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.8
(12 Ratings)
5 star 41.7%
4 star 0%
3 star 0%
2 star 8.3%
1 star 50%
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Verified Amazon Customer Jul 27, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Fantastic book! I purchased this book yesterday and already read some chapters and had a quick look to other chapters too. It contains everything needed for learning big data analytics with Spark. It elaborately covers the Scala programming, Sparks basic operations, many machine learning algorithms (classification, regression, clustering, recommendation system), NLP, graph analytics, structured streaming, and of course some other advanced topics of Spark such as tuning, debugging and cluster deployment.More interestingly, it also discussed PySpark, SparkR, Alixuio, and Zeppelin so I don't need to switch to something else. So in summary, it contains everything I was looking for few months.
Amazon Verified review Amazon
Md Ashiqur Rahman Nov 16, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a fantastic book for getting a real understanding about how to develop big data processing applications using Scala and Spark. This book is very up to date containing wide coverage of all the APIs such as Spark SQL, structured streaming, graphX, Spark MLib and more.
Amazon Verified review Amazon
Amazon Customer Aug 01, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am a scala enthusiastic, also professional java programmer, now a days im into bigdata stack. I've read the entire book more or less. I would highly recommend this book if someone working in java area but want to write java code in functional (scala) way to solve bigdata problems - scala makes spark processing much easier. I would also recommend this book who is yet to start bigdata coding using scala for spark processing. This book includes a lot of nice, small and real life bigdata analytics problems and how to solve them easily using scala on top of hadoop ecosystem.Thanks to authors for such an useful book - its not just only concepts but also guide to implement concepts.
Amazon Verified review Amazon
Ariel Herrera Oct 03, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
What I love about this book is that the author explains each concept very well and provides numerous examples. Yes, it is a large read however you can jump around in the book based on your need and it is sufficient.
Amazon Verified review Amazon
Julio Bregeiro Nov 18, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Aprovadi
Amazon Verified review Amazon
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