Hands-On Data Analysis with Scala Hands-On Data Analysis with Scala

Hands-On Data Analysis with Scala

Perform data collection, processing, manipulation, and visualization with Scala

    • $39.99
    • $39.99

Publisher Description

Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data


Key Features

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


Book 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


What you will learn

Techniques to determine the validity and confidence level of data

Apply quartiles and n-tiles to datasets tosee 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


Who this book is 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.

GENRE
Computing & Internet
RELEASED
2019
3 May
LANGUAGE
EN
English
LENGTH
298
Pages
PUBLISHER
Packt Publishing
SELLER
PublishDrive Inc.
SIZE
8.5
MB

More Books Like This

Learning Spark SQL Learning Spark SQL
2017
Apache Spark 2: Data Processing and Real-Time Analytics Apache Spark 2: Data Processing and Real-Time Analytics
2018
Big Data Big Data
2015
Apache Spark Quick Start Guide Apache Spark Quick Start Guide
2019
Learn Programming Python: Achieve All That With The Help Of Data Analysis Learn Programming Python: Achieve All That With The Help Of Data Analysis
2021
Spark in Action Spark in Action
2016