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ISQI CDFL Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Fundamentals | 20% | - Business drivers and use cases - Definition and characteristics of Big Data - The 5 Vs of Big Data |
| Topic 2: Big Data Architecture & Technologies | 25% | - Distributed systems and frameworks - Processing tools: Spark, Hive, Pig - Hadoop ecosystem (HDFS, MapReduce, YARN) - NoSQL databases types and use cases |
| Topic 3: Ethics & Best Practices | 5% | - Data privacy and compliance - Common pitfalls and best practices |
| Topic 4: Data Analysis & Visualization | 15% | - Exploratory data analysis - Visualization principles and tools - Basic statistical and analytical concepts |
| Topic 5: Data Management & Processing | 20% | - Batch vs real-time processing - Data governance, quality, and security - Data ingestion, integration, and cleansing |
| Topic 6: Data Sources & Types | 15% | - Data formats and storage considerations - Internal and external data sources - Structured, semi-structured, unstructured data |
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