Hands-On Data Analysis with Scala
Perform data collection, processing, manipulation, and visualization with Scala
Language - English
Updated on Oct, 2020
About the Book
Book 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 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
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.

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Author Details

Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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