Produktbild: Programming Elastic Mapreduce

Programming Elastic Mapreduce Using AWS Services to Build an End-To-End Application

41,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.01.2014

Verlag

O'Reilly and Associates

Seitenzahl

171

Maße (L/B/H)

23,3/17,7/1,2 cm

Gewicht

305 g

Sprache

Englisch

ISBN

978-1-4493-6362-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.01.2014

Verlag

O'Reilly and Associates

Seitenzahl

171

Maße (L/B/H)

23,3/17,7/1,2 cm

Gewicht

305 g

Sprache

Englisch

ISBN

978-1-4493-6362-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Programming Elastic Mapreduce
  • Preface; What Is AWS?; What's in This Book?; Sign Up for AWS; Code Samples in This Book; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1: Introduction to Amazon Elastic MapReduce; 1.1 Amazon Web Services Used in This Book; 1.2 Amazon Elastic MapReduce; 1.3 Amazon EMR and the Hadoop Ecosystem; 1.4 Amazon Elastic MapReduce Versus Traditional Hadoop Installs; 1.5 Application Building Blocks; Chapter 2: Data Collection and Data Analysis with AWS; 2.1 Log Analysis Application; 2.2 Log Messages as a Data Set for Analytics; 2.3 Understanding MapReduce; 2.4 Collection Stage; 2.5 Simulating Syslog Data; 2.6 Developing a MapReduce Application; 2.7 Custom JAR MapReduce Job; 2.8 Running an Amazon EMR Cluster; 2.9 Viewing Our Results; 2.10 Debugging a Job Flow; 2.11 Our Application and Real-World Uses; Chapter 3: Data Filtering Design Patterns and Scheduling Work; 3.1 Extending the Application Example; 3.2 Understanding Web Server Logs; 3.3 Finding Errors in the Web Logs Using Data Filtering; 3.4 Building Summary Counts in Data Sets; 3.5 Job Flow Scheduling; 3.6 Scheduling with AWS Data Pipeline; 3.7 Real-World Uses; Chapter 4: Data Analysis with Hive and Pig in Amazon EMR; 4.1 Amazon Job Flow Technologies; 4.2 What Is Pig?; 4.3 Utilizing Pig in Amazon EMR; 4.4 What Is Hive?; 4.5 Utilizing Hive in Amazon EMR; 4.6 Our Application with Hive and Pig; Chapter 5: Machine Learning Using EMR; 5.1 A Quick Tour of Machine Learning; 5.2 Python and EMR; 5.3 What's Next?; Chapter 6: Planning AWS Projects and Managing Costs; 6.1 Developing a Project Cost Model; 6.2 Optimizing AWS Resources to Reduce Project Costs; 6.3 Amazon Tools for Estimating Your Project Costs; Amazon Web Services Resources and Tools; Amazon AWS Online Resources; Amazon AWS Cost Estimation Tools; AWS Best Practices and Architecture; Amazon EMR Distributions; Cloud Computing, Amazon Web Services, and Their Impacts; AWS Service Delivery Models; Performance; Elasticity and Growth; Security; Uptime and Availability; Installation and Setup; Prerequisites; Installing Hadoop; Building MapReduce Applications; Running MapReduce Applications Locally; Installing Pig; Installing Hive; Index; Colophon;