BigQuery/BigData. Programming with purpose
summary
The talk examines when to use strong, rigid schemas versus more flexible approaches for BigQuery/Big Data pipelines, questioning whether strict relational keys are necessary given business stability and validation. It discusses programming with purpose—choosing data modeling and processing strategies that match whether the business is stable and producing expected results—drawing on Cloud/BigQuery experience.
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chapters (8)
- 0:00Introduction
- 1:18Relational vs NoSQL
- 5:18Flexibility in innovation
- 7:09Cloud options
- 14:00BigQuery features
- 23:26Practical code examples
- 31:00BigQuery ML and predictions
- 34:28Security and closing
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