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Cloudera CCD-470 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HDFS | 17% | - HDFS architecture and components - Block management, replication, and troubleshooting - File operations, permissions, and compression |
| Topic 2: Hive | 15% | - Storage formats and partitioning - Hive execution engine and Tez integration - Hive data model, queries, and optimization |
| Topic 3: MapReduce & YARN | 25% | - MRv1 vs MRv2 (YARN) differences - Input/output formats, combiners, partitioners, joins - Job configuration, optimization, and debugging - MapReduce programming model and workflow |
| Topic 4: Data Integration Tools | 13% | - Sqoop for relational data import/export - Flume for streaming data collection |
| Topic 5: HBase | 18% | - HBase architecture and data model - Data access, schema design, and performance tuning - Integration with MapReduce |
| Topic 6: Pig | 12% | - Pig Latin syntax and data processing - Custom functions and optimization |
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