Perera, Srinath.
Instant MapReduce Patterns – Hadoop Essentials How-to. - 1st ed. - 1 online resource (70 pages)
Intro -- Instant MapReduce Patterns - Hadoop Essentials How-to -- Instant MapReduce Patterns - Hadoop Essentials How-to -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. Instant MapReduce Patterns - Hadoop Essentials How-to -- Writing a word count application using Java (Simple) -- Getting ready -- How to do it... -- How it works... -- Writing a word count application with MapReduce and running it (Simple) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Installing Hadoop in a distributed setup and running a word count application (Simple) -- Getting ready -- How to do it... -- How it works... -- Writing a formatter (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Analytics - drawing a frequency distribution with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Relational operations - join two datasets with MapReduce (Advanced) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Set operations with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Cross correlation with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Simple search with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Simple graph operations with MapReduce (Advanced) -- Getting ready -- How to do it... -- How it works... There's more... -- Kmeans with MapReduce (Advanced) -- Getting ready -- How to do it... -- How it works... -- There's more...
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with Hadoop.This book is for big data enthusiasts and would-be Hadoop programmers. It is also meant for Java programmers who either have not worked with Hadoop at all, or who know Hadoop and MapReduce but are not sure how to deepen their understanding.
9781782167716
Apache Hadoop.
Cluster analysis -- Data processing.
Electronic data processing -- Distributed processing.
Software patterns.
Electronic books.
QA76.76.P37 -- P47 2013eb
005.4
Instant MapReduce Patterns – Hadoop Essentials How-to. - 1st ed. - 1 online resource (70 pages)
Intro -- Instant MapReduce Patterns - Hadoop Essentials How-to -- Instant MapReduce Patterns - Hadoop Essentials How-to -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. Instant MapReduce Patterns - Hadoop Essentials How-to -- Writing a word count application using Java (Simple) -- Getting ready -- How to do it... -- How it works... -- Writing a word count application with MapReduce and running it (Simple) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Installing Hadoop in a distributed setup and running a word count application (Simple) -- Getting ready -- How to do it... -- How it works... -- Writing a formatter (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Analytics - drawing a frequency distribution with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Relational operations - join two datasets with MapReduce (Advanced) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Set operations with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Cross correlation with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Simple search with MapReduce (Intermediate) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Simple graph operations with MapReduce (Advanced) -- Getting ready -- How to do it... -- How it works... There's more... -- Kmeans with MapReduce (Advanced) -- Getting ready -- How to do it... -- How it works... -- There's more...
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with Hadoop.This book is for big data enthusiasts and would-be Hadoop programmers. It is also meant for Java programmers who either have not worked with Hadoop at all, or who know Hadoop and MapReduce but are not sure how to deepen their understanding.
9781782167716
Apache Hadoop.
Cluster analysis -- Data processing.
Electronic data processing -- Distributed processing.
Software patterns.
Electronic books.
QA76.76.P37 -- P47 2013eb
005.4