What's changed: Created Associate Data Practitioner Chapter 4 (Domain 4 "Data management": access control and governance = IAM least privilege/predefined roles/Cloud Storage uniform access/Analytics Hub; lifecycle management = storage classes/lifecycle rules/BigQuery expiration; HA/DR and security = backup/recovery/replication/primary-secondary location/CMEK-CSEK-GMEK/Cloud KMS/encryption at rest-in transit).
4.2Lifecycle management
Understand choosing Cloud Storage classes by access frequency and retention requirements, configuring rules to auto-delete objects after a period to reduce storage cost (Cloud Storage, BigQuery), and evaluating archiving services by business requirements.
Data is accessed less over time. Lifecycle management optimizes cost by moving old data to cheaper classes or deleting it.
4.2.1Storage classes
Choose Cloud Storage classes by access frequency: Standard (frequent), Nearline (~monthly), Coldline (~quarterly), and Archive (long-term, rarely accessed). Note that less access = cheaper storage but pricier retrieval. Putting frequently accessed data in Coldline/Archive becomes more expensive due to retrieval.
4.2.2Lifecycle rules and archiving
Lifecycle rules automate "delete N days after creation" or "move to a cheaper class after N days" (Cloud Storage, and BigQuery table/partition expiration). This prevents accumulation of unneeded data and continuously reduces storage cost. For long-term retention, evaluate archive classes or services by requirements (retention, retrieval frequency, cost). Map "auto-delete/move old data = lifecycle rules."
Common: requirement → class/rule. E.g., "frequent access" = Standard; "~monthly" = Nearline; "~quarterly" = Coldline; "long-term rare" = Archive; "auto-delete/move after N days" = lifecycle rules; "table expiration" = BigQuery expiration.
Watch the mix-ups: (1) classes are cheaper storage but pricier retrieval as access drops—frequent data in Coldline/Archive is costlier. (2) Use lifecycle rules to automate (do not rely on manual deletion). (3) BigQuery also optimizes cost via expiration.
4.2.3Section summary
- Classes = Standard/Nearline/Coldline/Archive (less access = cheaper storage, pricier retrieval)
- Lifecycle rules automate delete/move after N days (Cloud Storage, BigQuery expiration)
- For long-term retention, evaluate archiving by retention/retrieval/cost
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Quick check
(just a quick review)Q1. Which cheapest Cloud Storage class suits long-term, rarely accessed data?
Q2. To auto-delete old objects after a period to cut cost, what do you use?
Q3. Which Cloud Storage class best suits data accessed about once a month?
Q4. Which is correct about storage-class pricing?
Q5. In BigQuery, to reduce cost, what can you set on tables or partitions?
Q6. Which best describes the main purpose of lifecycle management?
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