In the rapidly evolving landscape of big data, the AWS ecosystem continues to expand. With the introduction of new services like AWS Lambda, Amazon OpenSearch Service, and Amazon Machine Learning, alongside recent enhancements to existing tools such as JSON document support in Amazon DynamoDB and the integration of Spark and Presto on Amazon EMR, it can be challenging to navigate the best options tailored to your specific workloads.
To assist in this endeavor, we have made notable updates to the Big Data Analytics Solutions white paper, originally released in December 2014. This document provides a comprehensive overview of the various big data analytics options available on the AWS platform, guiding you in selecting the most suitable solution for your needs. It discusses important factors such as ideal use cases, cost models, performance metrics, durability, availability, scalability, and common pitfalls associated with these services:
- Amazon Redshift
- Amazon Kinesis
- Amazon EMR
- Amazon DynamoDB
- Amazon Machine Learning
- AWS Lambda
- Amazon OpenSearch Service
- Amazon EC2 (for big data analytics software on EC2 instances)
Additionally, the white paper explores three common big data analytics scenarios, detailing requirements, data flow, and the services utilized. These scenarios include Enterprise Data Warehouse, Capturing and Analyzing Sensor Data, and Sentiment Analysis with Social Media. For instance, sentiment analysis of social media utilizing Amazon Machine Learning is illustrated in the accompanying diagram.
This document serves as a valuable reference for designing new big data applications or re-architecting existing ones. Furthermore, we recently hosted a related webinar that emphasized key aspects of the paper. You can access the slides or watch the recording, but most importantly, make sure to download your copy of the white paper for further insights. You might also find this other blog post interesting as it delves into similar topics here. For authoritative insights on this subject, check out this expert article. Additionally, if you are considering a career at Amazon, this resource provides excellent guidance.
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