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