Google Cloud
From charlesreid1
Notes for Google Cloud Data Engineer (GCDE) certification. See GCDE.
Links:
- Certification info: https://cloud.google.com/certification/data-engineer
- Sample case study: https://cloud.google.com/certification/guides/data-engineer/casestudy-flowlogistic
- Tutorials/Guides/Resources for all of Google Cloud: https://cloud.google.com/solutions/
Case Study
The GCDEC page gives an example of a case study that can be used to see how different parts of the Google Cloud platform come together in the kind of scenario a real company might face. The case study focuses on a logistics company that delivers packages and tracks the deliveries with servers, software, and other infrastructure already in-place. The company's goal is to improve their computational infrastructure by moving parts of it to the cloud, and implement the ability to predict late shipments.
Google Cloud Services
Notes on all of the various parts of the Google Cloud platform and the services available on it.
Introduction
Google Cloud for Big Data
- MapReduce
- Spark
- BigQuery
Usage scenarios
Foundations
Compute and Storage
Data ingestion
Data storage
Federated analysis
Compute engine
Cloud storage
Data Analytics
Cloud SQL - relational database
Dataproc for machine learning
- Bigtop ecosystem:
- Pig
- Spark
- Hive
- Hadoop
Scaling Data Analysis
Datalab
Datastore
BigTable
BigQuery (query petabytes in seconds)
TensorFlow
Demand forecasting with machine learning
Data Processing Architectures
PubSub
Dataflow