Item: Amazon EMR (Elastic MapReduce)
Rating: 9
Author: Verified User

Overall Satisfaction with Amazon Elastic MapReduce

Use Cases and Deployment Scope

We use Amazon EMR for big data storage and processing. It's cluster architecture with each department having different clusters. It's great for processing and storage of large volumes of data, specifically, the data which is unstructured and generates very rapidly, like network logs.

Pros and Cons

Pros

Distributed computing
Fault tolerant
Uptime

Cons

Providing user friendly tools for hdfs access
More simpler apis for easy access and processsing
Memory requirenent

Return on Investment

Better accesss to business data
Faster business decisions
Better storage and processing

Likelihood to Recommend

If you don't have big data ..i.e petabytes of data with terabytes of data generating every day, then don't use Hadoop. Relational databases are enough for terabytes of data. Hadoop is not well suited for transactional systems or data.

Comments

Please log in to join the conversation

Amazon EMR- Great cloud based Hadoop platform

Modules Used