bigtable-basics

Bigtable Basics is a cloud database administration and development skill providing core workflows for provisioning, schema design, querying, and performance diagnosis on Google Bigtable. It solves the recurring challenges of a NoSQL wide-column store: designing performant row keys, configuring column families, choosing the right query API, and avoiding hotspotting and expensive full-table scans.

The skill establishes a clear control-plane vs data-plane split (gcloud for instances, clusters, app profiles, backups, IAM, and view/table creation; the cbt CLI for table/column-family updates and reading/writing data), and emphasizes performance-first design tied to row-key structure, prefer Java or Go clients for production, and observability through Key Visualizer, the hot-tablets tool, and table stats. It includes a prominent safety rule requiring explicit user confirmation before any non-emulator database change, and reminding the operator to surface that requirement whenever proposing structure- or data-modifying commands. Reference files cover infrastructure management (provisioning, backup/restore, emulator use), CLI data access (lookups, ranges, SQL reads, writes, deletes), schema design and hotspotting, structured row keys via SQL, high-performance Go/Java/Python client patterns, and Dataplex catalog discovery. It also recommends Terraform for production schema changes to prevent accidental data loss.

It targets cloud engineers, backend developers, and data platform teams building on or operating Bigtable. While it documents commands that create, modify, and delete instances, tables, and rows, these are standard administrative operations gated behind an explicit confirmation safety rule and directed at the user's own resources.