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Revision as of 17:35, 15 September 2017 by Admin (talk | contribs) (→‎Basic Info)

GCDEC: Google Cloud Data Engineer Certification

Basic Info

Certification overview: https://cloud.google.com/certification/data-engineer

Sample case study: https://cloud.google.com/certification/guides/data-engineer/casestudy-flowlogistic

What this certification "certifies" you can do:

  • Build and maintain data structures and databases
  • Design data processing systems
  • Analyze data and enable machine learning
  • Model business processes for analysis and optimization
  • Design for reliability
  • Visualize data and advocate policy
  • Design for security and compliance

Underlying goal: building data-handling capabilities (pipelines to ingest, process, and analyze data, and build models)

  • Data engineers enable better decision-making
  • Cloud services enable you to do more stuff with less knowledge and work - more infrastructure and better models, without getting bogged down by rote devops tasks or slogging through low-level statistics

What is a Data Engineer

Data engineers do any number of things:

  • Design, build, and maintain data structures, databases, data processing systems, data pipelines
  • Move data from one place to another
  • Data science
  • Enabling machine learning to happen, doing machine learning themselves
  • Model the process
  • Enable data-driven decision making in a company

Technology Stack

Technology stack and notes, see:

Training Resoures