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EMC DES-7DE1 Exam is designed for data scientists and data engineers who want to validate their knowledge and skills in the field of data science and data engineering. It covers a wide range of topics, including data preparation, analysis, visualization, modeling, and deployment, as well as machine learning, deep learning, and other advanced techniques. DES-7DE1 exam requires a deep understanding of statistical models, predictive analytics, and data mining techniques, and the ability to apply them effectively to real-world problems.
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EMC DES-7DE1 certification is highly valued in the industry and can lead to better job opportunities and higher salaries. Specialist - Data Scientist, Data Engineering Exam certification exam is a comprehensive test of the candidate's knowledge and skills in the field of data science and data engineering, making it an essential credential for professionals who want to advance their career in this field. With the EMC DES-7DE1 certification, candidates can demonstrate their expertise and commitment to their profession, making them stand out in the competitive job market.
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EMC DES-7DE1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extract-Transform-Load (ETL) Offload with Hadoop and Spark | 18% | - ETL, ELT processes and schedulers - Hadoop ecosystem and Apache Spark architecture |
| Topic 2: The Role of the Data Engineer | 5% | - Skills and responsibilities of a data engineer |
| Topic 3: Processing Streaming and IoT Data | 20% | - IoT data use cases and streaming tools - Streaming architectures (e.g., Apache Kafka, Apache Flink) |
| Topic 4: Building Data Pipelines with Python | 20% | - Python programming for data pipeline development |
| Topic 5: Data Warehousing with SQL and NoSQL | 17% | - NoSQL tools use cases and features - Relational database characteristics and performance |
| Topic 6: Data Governance, Security and Privacy for Big Data | 20% | - Data governance roles and models - Metadata, Master Data Management and privacy considerations |
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