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Google Cloud Essentials — selected guide

How to store data on Google Cloud

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Ryan, whose affiliation is unstated, surveys Google Cloud storage and database families through their data models and workload roles. [00:00:00]-[00:06:18]

Key Points Covered

  • Cloud Storage keeps file-like objects in buckets and supports console, command-line, library, and access-control workflows. [00:00:00]-[00:01:02]
  • Cloud SQL manages relational operations such as patches, backups, replicas, failover, and recovery. [00:01:02]-[00:03:07]
  • Firestore uses documents and collections with real-time client synchronization, unlike predefined relational schemas. [00:02:04]-[00:04:11]
  • BigQuery targets large-scale SQL analysis, while Spanner and Bigtable address globally consistent relational and high-throughput NoSQL workloads. [00:04:11]-[00:06:18]

These 2022 descriptions and workflows are historical; use current Google Cloud documentation to verify commands, capabilities, limits, availability, and pricing.

Full video: https://www.youtube.com/watch?v=w2mL4sUOjVo(opens in a new tab)