Book Image

Spark for Data Analysis in Scala [Video]

By : Anatolii Kmetiuk
Book Image

Spark for Data Analysis in Scala [Video]

By: Anatolii Kmetiuk

Overview of this book

<p><span id="description" class="sugar_field">Scala has emerged as an important tool for performing various data analysis tasks efficiently. This video will help you leverage popular Scala libraries and tools to perform core data analysis tasks with ease. </span></p> <p><span id="description" class="sugar_field">This course will give you everything that you need to perform data analysis with Scala libraries. You will master loading raw datasets with Spark, and perform exploratory data analysis on them via plotting. Along the way you will learn what Spark has to offer when it comes to transforming datasets and how you can build a statistical model of a dataset with Spark.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">This friendly course takes you through the tools Apache Spark has to offer for a standard data science workflow. It is packed with step-by-step instructions and working examples. This comprehensive course is divided into clear bite size chunks so you can learn at your own pace and focus on the areas of most interest to you.</span></span></p>
Table of Contents (5 chapters)
Chapter 4
Data Processing in Spark
Content Locked
Section 2
Feature Transformers
SparkSQL operations are powerful, but SparkML supports some common ML operations out of the box. Learning them may greatly reduce the work to be done. - Understand the theory: the concept of the feature transformers - View the StringIndexer example - View the StandardScaler example