UsefulLinks
1. Introduction to Big Data
2. Core Principles of Distributed Systems
3. The Hadoop Ecosystem
4. Modern Data Processing with Apache Spark
5. Stream Processing Technologies
6. NoSQL Databases
7. Data Warehousing and Analytics on Big Data
8. Cloud-Based Big Data Platforms
9. Supporting Ecosystem and Tools
10. Big Data Governance and Security
11. Performance Optimization and Best Practices
12. Emerging Trends and Future Directions
  1. Computer Science
  2. Big Data

Big Data Technologies

1. Introduction to Big Data
2. Core Principles of Distributed Systems
3. The Hadoop Ecosystem
4. Modern Data Processing with Apache Spark
5. Stream Processing Technologies
6. NoSQL Databases
7. Data Warehousing and Analytics on Big Data
8. Cloud-Based Big Data Platforms
9. Supporting Ecosystem and Tools
10. Big Data Governance and Security
11. Performance Optimization and Best Practices
12. Emerging Trends and Future Directions
12.
Emerging Trends and Future Directions
12.1.
Edge Computing and Big Data
12.1.1.
Edge Analytics
12.1.2.
Distributed Processing
12.1.3.
IoT Integration
12.2.
Artificial Intelligence and Machine Learning Integration
12.2.1.
AutoML Platforms
12.2.2.
MLOps Practices
12.2.3.
Real-Time ML Inference
12.3.
Serverless Big Data Processing
12.3.1.
Function-as-a-Service
12.3.2.
Event-Driven Architectures
12.3.3.
Cost Optimization
12.4.
Quantum Computing Impact
12.4.1.
Quantum Algorithms
12.4.2.
Cryptographic Implications
12.5.
Blockchain and Distributed Ledgers
12.5.1.
Data Integrity
12.5.2.
Decentralized Storage
12.6.
Green Computing and Sustainability
12.6.1.
Energy-Efficient Processing
12.6.2.
Carbon Footprint Reduction
12.6.3.
Sustainable Data Centers

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11. Performance Optimization and Best Practices

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1. Introduction to Big Data

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