Last Updated: Sep 13, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and YARN principles and configuration - Spark Core, Spark SQL and Catalyst optimization - Hive development, optimization and ACID transactions - Data ingestion tools: Loader, Sqoop, Flume |
| Topic 2: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, watermark, windowing and state management - Flink SQL and complex event processing - Spark Structured Streaming fundamentals - Kafka architecture, transactions and configuration |
| Topic 3: Big Data Application Development Overall Guide | 15% | - FusionInsight HD architecture and components - Mainstream big data technologies and ecosystem - Application development process and specifications - Scenario-based solution design overview |
| Topic 4: Big Data Real-time Retrieval Scenario-based Solution | 30% | - HBase architecture, row-key design and optimization - CarbonData and GaussDB(DWS) basics - Elasticsearch indexing, query and cluster management - Apache Phoenix and secondary indexes |
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