Writing a word count application using Java (simple) -- Writing a word count application with MapReduce and running it (simple) -- Installing Hadoop in a distributed setup and running a word count application (simple) -- Writing a formatter (intermediate) -- Analytics : drawing a frequency distribution with MapReduce (intermediate) -- Relational operations : join two datasets with MapReduce (advanced) -- Set operations MapReduce (intermediate) -- Cross correlation with MapReduce (intermediate) -- Simple search with MapReduce (intermediate) -- Simple graph operations with MapReduce (advanced) -- Kmeans with MapReduce (advanced)
Summary
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
Notes
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. WlAbNL
