Scala Data Analysis Cookbook (new)
Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes
Published on 13. January 2025
254 pages
978-1-78439-499-8 (ISBN)
Description
Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes
Key Features
Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin
Scale up your data anlytics infrastructure with practical recipes for Scala machine learning
Recipes for every stage of the data analysis process, from reading and collecting data to distributed analytics
Book DescriptionThis book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you'll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX. What you will learn
Familiarize and set up the Breeze and Spark libraries and use data structures
Import data from a host of possible sources and create dataframes from CSV
Clean, validate and transform data using Scala to pre-process numerical and string data
Integrate quintessential machine learning algorithms using Scala stack
Bundle and scale up Spark jobs by deploying them into a variety of cluster managers
Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis
Who this book is forThis book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis
Key Features
Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin
Scale up your data anlytics infrastructure with practical recipes for Scala machine learning
Recipes for every stage of the data analysis process, from reading and collecting data to distributed analytics
Book DescriptionThis book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you'll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX. What you will learn
Familiarize and set up the Breeze and Spark libraries and use data structures
Import data from a host of possible sources and create dataframes from CSV
Clean, validate and transform data using Scala to pre-process numerical and string data
Integrate quintessential machine learning algorithms using Scala stack
Bundle and scale up Spark jobs by deploying them into a variety of cluster managers
Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis
Who this book is forThis book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis
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More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
US School Grade: College Graduate Student
Edition type
Digital original
File size
9,67 MB
ISBN-13
978-1-78439-499-8 (9781784394998)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Arun Manivannan
Scala Data Analysis Cookbook
Book
10/2015
Packt Publishing
€55.60
Shipment within 3-4 weeks
Person
Manivannan Arun :
Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.
Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.
Content
Table of Contents
Getting started with Breeze.
Getting Started with Apache Spark Dataframes
Data Loading and Preparing Data - DataFrame
Visualization
Learning from Data
Scaling up
Going further
Getting started with Breeze.
Getting Started with Apache Spark Dataframes
Data Loading and Preparing Data - DataFrame
Visualization
Learning from Data
Scaling up
Going further
