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EMC D-AA-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Hadoop Ecosystem and NoSQL | 15% | - Hive, Pig, Spark processing frameworks - NoSQL databases: Cassandra, MongoDB - Data models and scalable storage solutions - HDFS, YARN, MapReduce architecture |
| Advanced Analytics Implementation | 15% | - Distributed computing and optimization - Machine learning model deployment - Performance tuning and scalability |
| Social Network Analysis (SNA) | 23% | - Graph databases and network visualization - Centrality, connectivity, and influence measures - Community detection algorithms - Graph theory and network metrics |
| Data Science Theory and Methods | 15% | - Regression, classification, clustering algorithms - Statistical inference and hypothesis testing - Model evaluation and validation metrics - Ethics and data governance |
| Data Visualization | 12% | - Visualization principles and best practices - Chart selection and data storytelling - Tools for visualization implementation - Interactive dashboards and reporting |
| Natural Language Processing (NLP) | 20% | - NLP pipelines and applications - Text preprocessing and feature extraction - Named entity recognition - Sentiment analysis and topic modeling |
