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GAQM CBDFS-001 Braindumps - in .pdf Free Demo

  • Exam Code: CBDFS-001
  • Exam Name: Certified Big Data Foundation Specialist (CBDFS)
  • Last Updated: Aug 06, 2026
  • Q & A: 0 Questions and Answers
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GAQM CBDFS-001 Braindumps - Testing Engine PC Screenshot

  • Exam Code: CBDFS-001
  • Exam Name: Certified Big Data Foundation Specialist (CBDFS)
  • Last Updated: Aug 06, 2026
  • Q & A: 0 Questions and Answers
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GAQM CBDFS-001 Exam Syllabus Topics:

SectionObjectives
Topic 1: Big Data Fundamentals- Big Data architecture overview
  • 1. Batch vs streaming processing
    • 2. Data pipelines and data lifecycle
      - Introduction to Big Data concepts
      • 1. Traditional data vs Big Data systems
        • 2. Characteristics of Big Data (Volume, Velocity, Variety, Veracity)
          Topic 2: Data Management and Governance- Data integration
          • 1. ETL processes
            • 2. Data pipelines and ingestion methods
              - Data governance and quality
              • 1. Metadata and data cataloging
                • 2. Data quality management
                  Topic 3: Big Data Storage Technologies- Distributed storage systems
                  • 1. Data replication and fault tolerance
                    • 2. HDFS fundamentals
                      - NoSQL databases
                      • 1. Key-value stores
                        • 2. Document, column-family, and graph databases
                          Topic 4: Big Data Analytics and Applications- Analytical techniques
                          • 1. Descriptive and predictive analytics
                            • 2. Basic machine learning concepts
                              - Use cases
                              • 1. Business intelligence applications
                                • 2. Real-time analytics use cases
                                  Topic 5: Big Data Processing Frameworks- In-memory and stream processing
                                  • 1. Apache Spark basics
                                    • 2. Stream processing concepts (e.g., Kafka overview)
                                      - Batch processing
                                      • 1. Distributed computation models
                                        • 2. MapReduce concepts
                                          Topic 6: Security and Cloud in Big Data- Cloud platforms
                                          • 1. Scalability and distributed computing in cloud
                                            • 2. Cloud-based big data services overview
                                              - Data security
                                              • 1. Access control and encryption basics
                                                • 2. Data privacy considerations

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