Serengeti is an open-source project, initiated by VMware, to enable the rapid deployment of Hadoop clusters in virtual environments. While Hadoop clusters are typically run on physical machines, Serengeti aims to bridge Hadoop and virtualization, and bring the classic benefits of virtualization to the Hadoop user. Leveraging virtual machines, Serengeti-deployed clusters can be simply operated, configured for HA protection, and made elastic through the decoupling of Hadoop compute and data layers. In this talk, we explore each of these aspects of running Hadoop on a virtual platform. Presenter: Kevin Leong, Product Manager, VMware

1. Elastic, Multi-tenant, Highly Available Hadoop
on Demand
Kevin Leong
kleong@vmware.com
© 2012 VMware Inc. All rights reserved

2. Agenda
VMware Data Products
Current Hadoop Challenges
Simple, Reliable, Elastic Hadoop on Demand
Summary
2

3. The Database is Being Stretched
Fast Data
Global access patterns
Mobile app proliferation
Big Data Flexible Data
Petabytes vs. Multi-structured data
Gigabytes Developer productivity
Democratize BI
Cloud Delivery
Virtualized
Offered “-as-a-Service”
3

4. Big, Fast and Flexible Data
Big Fast Flexible
Big Data OLTP OSS Relational
Processing workloads
vPostgres
Object
Serengeti
GemFire
Big Data Analytic Key / Value
Analytics workloads
Document
Cloud Delivery Model
Data as a service for private and public clouds
4

5. Agenda
VMware Data Products
Current Hadoop Challenges
Simple, Reliable, Elastic Hadoop on Demand

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