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Hands-On Data Analysis with Scala: Perform data collection, processing, manipulation, and visualization with Scala

Gupta

€18.99 per month

5 (3 Ratings)

Paperback May 2019 298 pages 1st Edition

Gupta

€18.99 per month

5 (3 Ratings)

Paperback May 2019 298 pages 1st Edition

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Key benefits

A beginner's guide for performing data analysis loaded with numerous rich, practical examples
Access to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysis
Develop applications in Scala for real-time analysis and machine learning in Apache Spark

Description

Efficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease. The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint. By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights

Who is this book for?

If you are a data scientist or a data analyst who wants to learn how to perform data analysis using Scala, this book is for you. All you need is knowledge of the basic fundamentals of Scala programming.

What you will learn

Techniques to determine the validity and confidence level of data
Apply quartiles and n-tiles to datasets to see how data is distributed into many buckets
Create data pipelines that combine multiple data lifecycle steps
Use built-in features to gain a deeper understanding of the data
Apply Lasso regression analysis method to your data
Compare Apache Spark API with traditional Apache Spark data analysis

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Free for first 7 days. $19.99 p/m after that. Cancel any time!

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50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

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Thousands of reference materials covering every tech concept you need to stay up to date.

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Product Details

Publication date : May 03, 2019

Length: 298 pages

Edition : 1st

Language : English

ISBN-13 : 9781789346114

Category :

Data

Languages :

Scala

Concepts :

Data Analysis

Tools :

Apache Spark

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13 Chapters

Section 1: Scala and Data Analysis Life Cycle

Scala Overview

Getting started with Scala

Overview of object-oriented and functional programming

Scala case classes and the collection API

Overview of Scala libraries for data analysis

Summary

Data Analysis Life Cycle

Data journey

Sourcing data

Understanding data

Using ML to learn from data

Creating a data pipeline

Summary

Data Ingestion

Data extraction

Data staging

Cleaning and normalizing

Enriching

Organizing and storing

Summary

Data Exploration and Visualization

Sampling data

Performing ad hoc analysis

Finding a relationship between data elements

Visualizing data

Summary

Applying Statistics and Hypothesis Testing

Basics of statistics

Vector level statistics

Random data generation

Hypothesis testing

Summary

Section 2: Advanced Data Analysis and Machine Learning

Introduction to Spark for Distributed Data Analysis

Spark setup and overview

Spark Datasets and DataFrames

Sourcing data using Spark

Using Spark to explore data

Summary

Traditional Machine Learning for Data Analysis

ML overview

Decision trees

Random forest

Ridge and lasso regression

k-means cluster analysis

Natural language processing for data analysis

Algorithm selections

Summary

Section 3: Real-Time Data Analysis and Scalability

Near Real-Time Data Analysis Using Streaming

Overview of streaming

Spark Streaming overview

Streaming a k-means clustering algorithm using Spark

Streaming linear regression using Spark

Summary

Working with Data at Scale

Working with data at scale

Cost considerations

Reliability considerations

Summary

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Customer reviews

Rating distribution

(3 Ratings)

5 star 100%

4 star 0%

3 star 0%

2 star 0%

1 star 0%

bindu Jul 22, 2019

Very Resourceful book for learning Scala. Detailed explanation right from the setup. Each topic is well explained with UML diagrams followed by practical examples. This book even covers Spark and Machine Learning Core Concepts.

Amazon Verified review

Sandy Jul 28, 2019

Great read, to quickly come up to speed on Data Analysis with Scala. The author explains everything in very simple terms and remove need of any prerequisites . It is must read for anybody interested on the subject. It doesn't waste anytime in theoretical concepts and jumps directly on the subject with step by step instructions with lot of examples. The contents and the style of book reflects author experience on the subject.

Amazon Verified review

M. Sharma Aug 14, 2019

I have been thinking about writing the review for this book for some time.I was planning to switch from R/SAS to Scala for data analysis and ML project on Spark.I was looking for a book which is quick read and cover various practical examples of using Scala with large datasets. Then I came across this book. It covers basics of language and shows how to use Scala/Spark for practical projects. It helped me to setup Scala and various tools and library on Spark cluster.Book is very methodical in its approach covering various aspects of big data analytics projects. It helped me to be productive in no time and start using Scala and Spark.One can finish this book in short period of time and will be ready to work on large scale Scala projects.Author has done great justice to the title and I highly recommend this work to anyone who wants to learn and adapt Scala/Spark.

Amazon Verified review

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About the author

Gupta

Rakesh Gupta is best known as an automation champion in the Salesforce ecosystem. He has written over 150 articles on Visual Workflow and Process Builder to show how someone can use Visual Workflow and Process Builder to minimize code usage. He is one of the Visual Workflow and Process Builder experts in the industry. He has trained more than 700 individual professionals around the globe and conducted corporate training. Currently, Rakesh is working as a Salesforce solution architect consultant.

See other products by Gupta

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Hands-On Data Analysis with Scala: Perform data collection, processing, manipulation, and visualization with Scala

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