GOOGLE Certified Data Engineer

about the track

Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
The Professional Data Engineer exam assesses your ability to:

  • Design data processing systems
  • Operationalize machine learning models
  • Ensure solution quality
  • Build and operationalize data processing systems

 

Main units of this track are:

  • BIG DATA & MACHINE LEARNING FUNDAMENTALS
  • DATA ENGINEERING ON GOOGLE CLOUD PLATFORM
  • SERVERLESS DATA PROCESSING WITH DATAFLOW
  • PREPARING FOR THE PROFESSIONAL DATA ENGINEER EXAMINATION

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The True value of Partnership

Any partnership, big or small, will work best when there is a shared goal. Developing value-aligned partnerships that focus on common goals and complementary strengths is key to ensuring successful outcomes for all. Working collaboratively with partners generates the kind of energy that fuels growth, innovation and creativity. In our experience, we have found that communication and collaboration are in fact key factors in successful and productive partnerships. Our partners are critical in the success and growth of our business and we are constantly learning from them. We will deepen partnerships with neighboring countries and promote our values.

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Mericler is a Canadian educational umbrella under which a range of services is delivered worldwide by experts and professionals who have accumulated years of international experience in their specialty fields. Starting from Toronto, Canada...

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