GCDEC: Difference between revisions
From charlesreid1
| Line 19: | Line 19: | ||
* Data engineers enable better decision-making | * 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 | * 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== | ||
Revision as of 17:35, 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
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: