Content tagged with: hadoop
Cloud computing and big data analytics are two areas of technology that currently are:
* Cloud computing provides the benefits of elasticity, on-demand access to resources and utility-like billing.
* Big data processing and analytics using Hadoop provides a framework to take advantage of these resources by distributing the workload into a cluster of computers.
This video provices a step-by-step walkthrough showing how to build a simple Hadoop job using Amazon’s Elastic MapReduce service.
This simple tutorial will help you get started to install your own two-node Hadoop cluster.
This article discusses a proposed refactoring of Hadoop MapReduce to address the architecture’s current issues by providing high-availability, enhancing cluster utilization and support for programming paradigms.
This article explores the primary features of Hadoop Distributed File System and provides a high-level view of its architecture.
Yury Izrailevsky, Director of Cloud and Systems Infrastructure at Netflix, explains the reasons
behind the choice of three NoSQL tools: SimpleDB, Hadoop/HBase and Cassandra.