Amazon EMR vs. On-Premises Hadoop: Architecture, Cost & Performance Explained скачать в хорошем качестве

Amazon EMR vs. On-Premises Hadoop: Architecture, Cost & Performance Explained

Struggling to decide between maintaining a traditional On-Premises Hadoop cluster or migrating to the cloud with Amazon EMR? This video breaks down the "Big Data Crossroads" to help you make the strategic choice that fits your infrastructure. In this deep dive, we explore the fundamental differences between self-managed HDFS and cloud-native EMR, focusing on the game-changing concept of decoupling compute from storage. In this video, we cover: The On-Prem Headache: Why managing physical racks, cabling, and 3x storage replication is costing you more than you think. Architecture Showdown: How EMR uses Amazon S3 to decouple storage from compute for massive scalability. Cost Optimization: How to use AWS Spot Instances to get up to 90% off computing power. Real-World Case Study: How Acxiom reduced processing time from 11 days down to 15 hours. Decision Framework: A cheat sheet on when to stay On-Prem (low latency) vs. when to move to EMR (flexibility). Key Topics: Big Data, Apache Hadoop, AWS EMR, Cloud Migration, Data Architecture.