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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collection and Preprocessing | 15% | - Data integration and synchronization - Data cleaning and transformation - Data collection methods and tools |
| Topic 2: Big Data Fundamentals | 15% | - Concepts and characteristics of big data - Distributed system basics - Big data processing architecture overview |
| Topic 3: Big Data Technology Ecosystem | 15% | - Hadoop ecosystem components - Spark and mainstream computing frameworks - Alibaba Cloud big data product system overview |
| Topic 4: Data Visualization and Application | 10% | - Quick BI visualization tool - Building basic data applications - Principles of data visualization |
| Topic 5: Data Storage and Management | 20% | - Data modeling and table design - Distributed storage solutions - MaxCompute data warehouse service |
| Topic 6: Data Processing and Analysis | 25% | - E-MapReduce big data analytics service - SQL and programming for data analysis - DataWorks development and operation platform |
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