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Enterprise Big Data Engineer badge

Enterprise Big Data Engineer

Learn the technical requirements to set up, maintain and improve Enterprise Big Data environments.

About this level

The DASCIN Enterprise Big Data Engineer (EBDE®) course and certification is suitable for anyone who:

  • Is responsible for designing, implementing, and managing robust data systems and infrastructure within organizations, including:
    • Data Engineers.
    • Database Administrators.
    • Data Architects.
    • ETL Developers.

  • Explain the foundational concepts and technologies in data engineering, including the differences between structured and unstructured data and their respective storage and processing solutions.
  • Describe the principles and techniques of working with relational databases using SQL, and the methods for handling unstructured data with NoSQL databases.
  • Demonstrate proficiency in ETL (Extract, Transform, Load) processes, batch processing, and real-time stream processing, and understand their applications in various data integration scenarios.
  • Design and implement efficient data pipelines for seamless data movement and processing, ensuring optimal performance and scalability.
  • Discuss and apply different data architectures, evaluating their suitability based on specific use cases and business requirements.
  • Utilize machine learning techniques to enhance data engineering workflows and solve practical data-related problems.
  • Implement security measures and ensure compliance with data privacy regulations to protect sensitive information within data engineering processes.
  • Identify key functions, roles, and competences necessary for effective data engineering within enterprise organizations and understand the importance of collaboration with other data-related roles to capture long-term value from data initiatives.

  • 80 multiple-choice questions.
  • 120 minutes to complete the exam.
  • 52 marks are required to pass (52/80) — 65%.
  • This is a closed-book exam.