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EMC DES-7DE1 certification exam is a highly sought-after credential in the data science industry. It is recognized globally as a validation of the skills required to work with big data technologies and frameworks. Additionally, the certification enables individuals to demonstrate their expertise in the field and provides them with a competitive edge in the job market.

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EMC DES-7DE1 certification exam tests the candidate's ability to design, implement, and manage data science solutions using Dell EMC technologies. DES-7DE1 exam assesses the candidate's knowledge of the complete data science lifecycle and the ability to apply data analytics and machine learning techniques to solve business problems. The EMC DES-7DE1 certification exam also evaluates the candidate's ability to design and implement data engineering solutions, including data ingestion, preparation, and transformation.

Reference: https://education.dellemc.com/content/dam/dell-emc/documents/en-us/DS_DataEng_SpecExamDesc_APR1020_Current.pdf

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EMC DES-7DE1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Storage and Management- Database systems
  • 1. Relational databases
    • 2. NoSQL databases
      - Data warehousing concepts
      • 1. Data lakes vs data warehouses
        Topic 2: Big Data Technologies- Distributed computing
        • 1. Hadoop ecosystem concepts
          • 2. Spark processing basics
            Topic 3: Data Governance and Quality- Data governance principles
            • 1. Security and compliance basics
              - Data quality management
              • 1. Data validation and cleansing
                Topic 4: Data Integration and ETL- ETL/ELT pipelines
                • 1. Data extraction methods
                  • 2. Data transformation techniques
                    • 3. Data loading strategies
                      Topic 5: Data Science Support Systems- Machine learning data preparation
                      • 1. Dataset preparation workflows
                        • 2. Feature engineering basics
                          Topic 6: Data Engineering Foundations- Data lifecycle concepts
                          • 1. Data ingestion concepts
                            • 2. Data processing workflows

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