This course is part of DeepLearning.AI Data Engineering Professional Certificate

Instructor: Joe Reis

What you'll learn

  •   Gain a comprehensive understanding of the data engineering lifecycle and its undercurrents
  •   Gather stakeholder needs and translate them into system requirements
  •   Design and implement batch and streaming data pipelines on AWS
  • Skills you'll gain

  •   Security Controls
  •   Data Processing
  •   Data Architecture
  •   Requirements Analysis
  •   Amazon Web Services
  •   System Requirements
  •   Data Modeling
  •   Scalability
  •   Data Transformation
  •   Performance Tuning
  •   Data Pipelines
  •   Data Warehousing
  • There are 4 modules in this course

    In this course, you will be introduced to the data engineering lifecycle, from data generation in source systems, to ingestion, transformation, storage, and serving data to downstream stakeholders. You’ll study the key undercurrents that affect all stages of the lifecycle, and start developing a framework for how to think like a data engineer. To gain hands-on practice, you’ll gather stakeholder needs, translate those needs into system requirements, and choose tools and technologies to build systems that provide business value. By the end of this course you’ll be spinning up batch and streaming data pipelines to serve product recommendations on the AWS cloud!

    The Data Engineering Lifecycle and Undercurrents

    Data Architecture

    Translating Requirements to Architecture

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