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IBM C2030-101 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing Frameworks | - Batch vs streaming processing - Apache Hadoop ecosystem (HDFS, YARN, MapReduce) - Apache Spark processing model |
| Data Governance and Security | - Data privacy and compliance - Access control and authentication in big data systems |
| Data Storage and Management | - NoSQL databases (HBase, Cassandra, MongoDB concepts) - Data lakes and data warehouses |
| Big Data Concepts and Architecture | - Distributed computing fundamentals - Big data characteristics (Volume, Velocity, Variety, Veracity) - Lambda and Kappa architectures |
| Analytics and Machine Learning on Big Data | - Basic analytics workflows - ML integration with Spark MLlib concepts |
| Data Ingestion and Integration | - ETL/ELT pipelines - Data ingestion tools and frameworks |
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