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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Architecture Design | 30% | - Performance optimization and capacity planning - Distributed storage and computing architecture - High availability and disaster recovery design |
| Topic 2: Data Integration & Governance | 15% | - Compliance and security governance - Cross-source data synchronization - Data quality and lifecycle management |
| Topic 3: MaxCompute & DataWorks | 25% | - Data modeling and development - Workflow orchestration and scheduling - Security and permission management |
| Topic 4: E-MapReduce & Streaming Processing | 20% | - Stream-batch unified processing - Real-time data processing with Flink - Hadoop/Spark ecosystem deployment |
| Topic 5: Solution Implementation & Optimization | 10% | - Cost optimization strategies - Enterprise big data solution design - Troubleshooting and fault diagnosis |
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