BigQuery
- Architecture
- Queries / Commands
- Optimizations
- query-optimizations
- Query Working
- storage-optimizations
- Documentation
- modeling
- slots
- pricing
- data-masking
- interview-questions
- BigLake
- Others
BigQuery is a serverless data analytics platform. You don't need to provision individual instances or virtual machines to use BigQuery. Instead, BigQuery automatically allocates computing resources as you need them. You can also reserve compute capacity ahead of time in the form of slots, which represent virtual CPUs.
BigQuery should not be used if you expect OLTP behavior or performance.
References
- https://github.com/GoogleCloudPlatform/training-data-analyst/blob/master/courses/machine_learning/deepdive/02_generalization/repeatable_splitting.ipynb
- https://github.com/GoogleCloudPlatform/training-data-analyst
- php - Speed of inserting to BigQuery - should this be batched in background? - Stack Overflow
- BigQuery SQL - YouTube
- Advanced BigQuery Concepts - YouTube
- Strategies for optimizing your BigQuery queries - YouTube
- How does BigQuery store data? - YouTube
- BigQuery Spotlight - YouTube
- GitHub - GoogleCloudPlatform/data-analytics-golden-demo: An end to end demo of Google's Cloud data and analytic stack.