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Hands-On Data Analysis with Scala

You're reading from Hands-On Data Analysis with Scala

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781789346114

Pages 298 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Rajesh Gupta

Table of Contents (14) Chapters

Preface

1. Section 1: Scala and Data Analysis Life Cycle

2. Scala Overview

3. Data Analysis Life Cycle

4. Data Ingestion

5. Data Exploration and Visualization

6. Applying Statistics and Hypothesis Testing

7. Section 2: Advanced Data Analysis and Machine Learning

8. Introduction to Spark for Distributed Data Analysis

9. Traditional Machine Learning for Data Analysis

10. Section 3: Real-Time Data Analysis and Scalability

11. Near Real-Time Data Analysis Using Streaming

12. Working with Data at Scale

13. Another Book You May Enjoy

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Overview of Scala libraries for data analysis

There are a great number of Scala libraries and frameworks that simplify data analysis tasks. There is a lot of innovation happening regarding the simplification of data analysis-related tasks, from simple tasks such as data cleaning, to more advanced tasks such as deep learning. The following sections focus on the most popular data-centric libraries and frameworks that have seamless Scala integration.

Apache Spark

Apache Spark (https://spark.apache.org/) is a unified analytics engine for large-scale data processing. Spark provides APIs for batch as well as stream data processing in a distributed computing environment. Spark's API can be broadly divided into the following...

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Authors (1)

Rajesh Gupta

Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has masters degrees in Mathematics and Computer Science from BITS, Pilani (India).

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