Lakehouse Platforms and Delta Lake

Compare storage and compute patterns for a telemetry workload.

Evidence: An architecture decision records cost, latency and governance needs.

Load and transform partitioned data with explicit schemas.

Evidence: Output schema and aggregates match provided checks.

Choose file format and partition boundaries for common queries.

Evidence: A plan avoids excessive tiny files and high-cardinality partitions.

Create a table and inspect transaction history.

Evidence: Two controlled writes produce the expected table state.

Apply corrected events using stable business keys.

Evidence: Repeated merges are idempotent and preserve unaffected records.

Test additive changes and incompatible type changes.

Evidence: A migration passes compatibility tests or rejects unsafe input.

Query earlier table state and plan retention implications.

Evidence: A historical result is reproduced with its version recorded.

Implement raw, validated and business-ready transformations.

Evidence: Rejected records remain inspectable with reason codes.

Design catalog, schema, table and role permissions.

Evidence: A permissions matrix enforces least privilege for three roles.

Map the governance design to a licensed workspace if supplied; otherwise use a clearly labelled simulation.

Evidence: A permission test log identifies which actions were simulated.

Measure table layout and query changes on the same workload.

Evidence: Before-and-after measurements include correctness checks.

Plan a cutover, rollback and historical reconciliation.

Evidence: A migration checklist includes data checks and a rollback trigger.