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IBM C2090-101 exam measures the candidate's ability to design, develop, and maintain big data solutions using IBM technologies such as IBM InfoSphere BigInsights, IBM InfoSphere Streams, and IBM InfoSphere DataStage. C2090-101 exam is divided into multiple sections that cover various topics related to big data engineering, including data ingestion, data transformation, data storage, data analysis, and data visualization.
Reference: https://www.ibm.com/certify/exam?id=C2090-101
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IBM C2090-101 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Governance and Security | - Data quality and management
|
| Topic 2: Data Ingestion and Integration | - Data ingestion tools
|
| Topic 3: Big Data Foundations | - Data storage systems
|
| Topic 4: Data Processing and Analytics | - Spark ecosystem
|
| Topic 5: Big Data Ecosystem Tools | - Hadoop ecosystem
|








