Apache Hadoop

8.

Advanced Hadoop Topics

8.1.

Cloud Integration

8.1.1.

Infrastructure as a Service

8.1.1.1.

Virtual Machine Deployment

8.1.1.2.

Storage Integration

8.1.1.3.

Network Configuration

8.1.2.

Managed Hadoop Services

8.1.2.1.

Service Comparison

8.1.2.2.

Migration Strategies

8.1.2.3.

Cost Considerations

8.1.3.

Object Storage Integration

8.1.3.1.

8.1.3.2.

Cloud Storage Connectors

8.1.3.3.

Performance Considerations

8.2.

Modern Processing Frameworks

8.2.1.

Apache Spark Integration

8.2.1.1.

8.2.1.2.

Performance Comparison

8.2.1.3.

Use Case Selection

8.2.2.

Stream Processing

8.2.2.1.

Real-Time Requirements

8.2.2.2.

Streaming Frameworks

8.2.2.3.

Lambda Architecture

8.3.

Hadoop 3.x Features

8.3.1.

8.3.1.1.

Storage Efficiency

8.3.1.2.

Fault Tolerance

8.3.1.3.

Performance Impact

8.3.2.

Enhanced High Availability

8.3.2.1.

Multiple NameNode Support

8.3.2.2.

Improved Failover

8.3.3.

Timeline Service v2

8.3.3.1.

Enhanced Monitoring

8.3.3.2.

Scalability Improvements

8.4.

Future Directions

8.4.1.

Data Lake Architecture

8.4.2.

Modern Data Stack Integration

8.4.3.

Container Orchestration

8.4.4.

Kubernetes Integration

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7. Hadoop Administration

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1. Introduction to Big Data and Hadoop