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Moving Hadoop in the Cloud

Paperback Engels 2017 1e druk 9781491959633
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Samenvatting

Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines.

This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You’ll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them.

-Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks
-Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage
-Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require
-Explore use cases for high availability, relational data with Hive, and complex analytics with Spark
-Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance

Specificaties

ISBN13:9781491959633
Trefwoorden:Hadoop, cloud
Taal:Engels
Bindwijze:paperback
Aantal pagina's:338
Uitgever:O'Reilly
Druk:1
Verschijningsdatum:18-7-2017
Hoofdrubriek:IT-management / ICT

Lezersrecensies

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Inhoudsopgave

Foreword
Preface

Part I: Introduction to the Cloud
1. Why Hadoop in the Cloud?
2. Overview and Comparison of Cloud Providers

Part II: Cloud Primer
3. Instances
4. Networking and Security
5. Storage

Part III: A Simple Cluster in the Cloud
6. Setting Up in AWS
7. Setting Up in GCP
8. Setting Up in Azure
9. Standing Up a Cluster

Part IV: Enhancing Your Cluster
10. High Availability
11. Relational Data with Apache Hive
12. Complex Analytics with Spark

Part V: Care and Feeding of Hadoop in the Cloud
13. Pricing and Performance
14. Network Topologies
15. Patterns for Managing Clusters
16. Using Images for Cluster Management
17. Monitoring and Automation
18. Backup and Restoration

Index

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