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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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Sourcing data

Data sourcing is one of the most preliminary steps in the life cycle of data. It includes activities such as data acquisition, cleaning, and organization. The following is a list of the specific activities that it involves:

Raw data delivery—push model versus pull (extract) model
Handling a variety of data formats (CSV, JSON, XML)
Detecting errors in the data that is delivered
Removing bad data
Data enrichment—filling the gaps in the data
Combining data with other datasets
Defining a data model
Transforming the raw data model into the defined model
Storing the data

Data formats

By its very nature, there is a wide variety of raw data. There are a variety of systems generating raw data for a variety...

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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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