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