GCDEC: Difference between revisions
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* Design for security and compliance | * 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 | |||
==Technology Stack== | ==Technology Stack== | ||
Revision as of 17:31, 15 September 2017
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
Technology Stack
Technology stack and notes, see: