IBM C2030-101 - IBM Big Data Engineer
- Exam Code: C2030-101
- Exam Name: IBM Big Data Engineer
- Updated: Aug 01, 2026
- Q & A: 0 Questions and Answers
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| Section | Objectives |
|---|---|
| Data Processing Frameworks | - Apache Hadoop ecosystem (HDFS, YARN, MapReduce) - Apache Spark processing model - Batch vs streaming processing |
| Data Governance and Security | - Access control and authentication in big data systems - Data privacy and compliance |
| Data Storage and Management | - Data lakes and data warehouses - NoSQL databases (HBase, Cassandra, MongoDB concepts) |
| Analytics and Machine Learning on Big Data | - Basic analytics workflows - ML integration with Spark MLlib concepts |
| Big Data Concepts and Architecture | - Big data characteristics (Volume, Velocity, Variety, Veracity) - Lambda and Kappa architectures - Distributed computing fundamentals |
| Data Ingestion and Integration | - Data ingestion tools and frameworks - ETL/ELT pipelines |
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