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ADaSci Certified Data Engineer

  • This course-linked certification program empowers professionals to design, build, and manage robust and scalable data infrastructure and pipelines that enable effective data storage, processing, and analysis. It equips them to drive data-driven decision-making within their organizations with confidence, strategic insight into data architecture, and hands-on expertise in data engineering practices.
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  • Level
    Intermediate
  • Duration
    30 hours
  • Last Updated
    April 17, 2025

Material Includes

  • Self-paced learning modules
  • Hands-on codes
  • Online MCQ-Based Exam
  • Certification

What I will learn?

  • Enhanced Knowledge: Comprehensive understanding of data engineering principles, methodologies, and technologies in-depth.
  • Practical Skills: Hands-on experience in designing, building, and maintaining robust and scalable data pipelines and systems effectively.
  • Certified Expertise: Validation of skills with a recognized 'Certified Data Engineer' credential
  • Competitive Advantage: Stand out in the industry as a qualified data engineering professional, demonstrating expertise and increasing career opportunities.

Course Curriculum

Module 1: Foundations of Data Engineering

  • Introduction to Data Engineering
    05:40
  • Fundamentals of Database Systems
    17:51
  • ETL vs ELT: Concepts and Design Patterns
    09:23
  • Understanding Batch and Stream Data Processing
  • Introduction to the Big Data Landscape
    15:11
  • Practical Implementation with Apache Hadoop
    15:19
  • Data Flow Scripting with Apache Pig
    05:04

Module 2: Scalable Data Storage & Modeling Techniques

Module 3: Data Ingestion & Processing

Module 4: Cloud Data Engineering

Module 5: Data Quality, Lineage & Governance

Certification Exam

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