Description

Enterprise Big Data Engineer Syllabus

The Enterprise Big Data Engineer® (EBDE) certification syllabus is a comprehensive resource designed to equip professionals with the essential skills and knowledge required to manage and engineer large-scale data systems effectively. This qualification provides a thorough understanding of data engineering principles, covering structured and unstructured data, data pipeline implementation, and efficient data integration through ETL, batch, and stream processing.

About the Enterprise Big Data Engineer Certification Program

Elevate Your Big Data Skills: The Enterprise Big Data Engineer certification program is crafted to empower professionals with the expertise needed to excel in the world of big data. This globally recognized program ensures that candidates are well-prepared to design scalable and efficient data solutions tailored to diverse business needs. Accredited by APMG-International, the Enterprise Big Data Engineer certification emphasizes both theoretical knowledge and practical application, bridging the gap between data management and data science.

What the Syllabus Covers

1. Learning Outcomes: The Enterprise Big Data Engineer® syllabus documents the learning outcomes associated with the certification course, defining the scope of requirements candidates must meet. It ensures that candidates demonstrate their achievement of these learning outcomes at each qualification level, covering key topics such as: 

   • Foundational concepts and technologies in data engineering.
   • Working with structured data formats and relational databases using SQL.
   • Handling unstructured data with NoSQL databases and relevant tools.
   • Data integration through ETL, batch processing, and real-time stream processing.
   • Designing and implementing efficient data pipelines for data movement and processing.
   • Exploring different data architectures and designing scalable solutions.
   • Applying machine learning techniques to enhance data engineering tasks.
   • Implementing security measures and ensuring compliance with data privacy regulations.
      

2. Exam Design Insights: The syllabus provides detailed insights into the design of the EBDE certification exams. It includes a breakdown of what the exams will assess, helping candidates prepare effectively for success. The exams are structured to evaluate a candidate’s proficiency across the outlined learning outcomes.

Key Features

The learning objectives of the Enterprise Big Data Engineer® qualification include:

• Introduction to Data Engineering: Understand the foundational concepts and technologies in data engineering.

• Structured Data and Databases: Learn to work with structured data formats and relational databases using SQL.

• Unstructured Data and Databases: Explore handling unstructured data with NoSQL databases and relevant tools.

• ETL, Batch and Stream Processing: Master data integration through ETL, batch processing, and real-time stream processing.

• Data Pipelines: Design and implement efficient data pipelines for data movement and processing.

• Data Architectures: Explore different data architectures and design scalable solutions based on use cases.

• Machine Learning for Data Engineers: Apply machine learning techniques to enhance data engineering tasks and workflows.

• Security and Privacy in Data Engineering: Implement security measures and ensure compliance with data privacy regulations in data engineering processes.