Month 19: Working with Hadoop and MapReduce
Week 1: Introduction to Hadoop
- Day 1: Understanding Hadoop
- Day 2: Hadoop Architecture and Components
- Day 3: Setting Up a Hadoop Environment
- Day 4: Data Ingestion with Hadoop – HDFS
- Day 5: Data Processing with Hadoop – MapReduce
Week 2: Advanced Hadoop Concepts
- Day 1: Introduction to YARN
- Day 2: Scheduling and Resource Management in Hadoop
- Day 3: High Availability and Fault Tolerance in Hadoop
- Day 4: Security in Hadoop
- Day 5: Optimizing Hadoop Performance
Week 3: Introduction to MapReduce
- Day 1: Understanding the MapReduce Paradigm
- Day 2: Writing a Basic MapReduce Program
- Day 3: Understanding the MapReduce Data Flow
- Day 4: Combiners and Partitioners in MapReduce
- Day 5: Optimizing MapReduce Jobs
Week 4: Advanced MapReduce Concepts
- Day 1: Handling Big Data with MapReduce
- Day 2: Dealing with Complex Data Types in MapReduce
- Day 3: Debugging MapReduce Jobs
- Day 4: Testing MapReduce Jobs
- Day 5: MapReduce Design Patterns
dowhatkennydoes.com 