GCDEC: Difference between revisions
From charlesreid1
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Course 4b - Deploying Machine Learning Models with Tensorflow (in the cloud) | Course 4b - Deploying Machine Learning Models with Tensorflow (in the cloud) | ||
* [[GCDEC/Deploying Tensorflow/Notes]] | * [[GCDEC/Deploying Tensorflow/Notes]] | ||
Course 4c - Engineering Machine Learning Models with Tensorflow (feature engineering and pipelining in the cloud) | |||
* [[GCDEC/Engineering Tensorflow/Notes]] | |||
Course 5 - Building Resilient Streaming Systems | Course 5 - Building Resilient Streaming Systems | ||
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[[GCDE/Practice Exam 1]] - Taken 9/29/17. Mostly missed questions covering Dataproc. | [[GCDE/Practice Exam 1]] - Taken 9/29/17. Mostly missed questions covering Dataproc. | ||
===Labs=== | ===Labs=== | ||
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Sample case study link: https://cloud.google.com/certification/guides/data-engineer/casestudy-flowlogistic | Sample case study link: https://cloud.google.com/certification/guides/data-engineer/casestudy-flowlogistic | ||
Outline of topics covered by exam link: https://cloud.google.com/certification/guides/data-engineer/#certificate-exam-guide | Outline of topics covered by exam link: https://cloud.google.com/certification/guides/data-engineer/#certificate-exam-guide | ||
Analysis of outline of topics: [[GCDE/Outline of Topics]] | Analysis of outline of topics: [[GCDE/Outline of Topics]] | ||
=Flags= | =Flags= | ||
Latest revision as of 02:11, 19 December 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
Google Cloud Services
See Google Cloud#Google Cloud Services
Technology Stack
Case study with an example of the kind of technology stack that you might see in use at a company:
List of all pages related to Google Cloud platform:
Training Resources
Coursera
Course 1 - Google Cloud Platform Big Data and Machine Learning Fundamentals
Course 2 - Leveraging Unstructured Data with Cloud Dataproc
Course 3a - Serverless Data Analysis with BigQuery
Course 3b - Serverless Data Analysis with Dataflow
Course 4a - Building Machine Learning Models with Tensorflow (not necessarily in the cloud...)
Course 4b - Deploying Machine Learning Models with Tensorflow (in the cloud)
Course 4c - Engineering Machine Learning Models with Tensorflow (feature engineering and pipelining in the cloud)
Course 5 - Building Resilient Streaming Systems
Udemy
GCDE practice exams
GCDE/Practice Exam 1 - Taken 9/29/17. Mostly missed questions covering Dataproc.
Labs
Code Labs, GCP Essentials Quest: https://google.qwiklabs.com/quests/23?locale=en
Code Labs, Data Engineering Quest: https://google.qwiklabs.com/quests/25?locale=en
Code Labs, Scientific Data Quest: https://google.qwiklabs.com/quests/28?locale=en
Certification Outline
Sample case study link: https://cloud.google.com/certification/guides/data-engineer/casestudy-flowlogistic
Outline of topics covered by exam link: https://cloud.google.com/certification/guides/data-engineer/#certificate-exam-guide
Analysis of outline of topics: GCDE/Outline of Topics