Book Image

Hands-On Data Analysis with Scala

By : Rajesh Gupta
Book Image

Hands-On Data Analysis with Scala

By: Rajesh Gupta

Overview of this book

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
Table of Contents (14 chapters)
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Section 1: Scala and Data Analysis Life Cycle
Section 2: Advanced Data Analysis and Machine Learning
Section 3: Real-Time Data Analysis and Scalability

Section 3: Real-Time Data Analysis and Scalability

This section will introduce you to an emerging field of data analysis where you, analyze data in near real time using streaming technologies. In this section, you will learn about the concept of steam oriented processing and will be taken on a deeper dive into Spark steaming. You will also learn to analyse data from multiple dimensions, such as cost, reliability, and performance. This will provide you with a complete picture of how a practical real-world data analysis life cycle works and will prepare you for the future of data analysis.

This section will contain the following chapters:

  • Chapter 8, Near Real-Time Data Analysis Using Streaming
  • Chapter 9, Working with Data at Scale