LEARN. PRACTICE. GROW.Concept and mechanism
Data supports decisions only when meaning, quality, and context are understood. Identify origin, owner, schema, transformations, and consumers. Structured data has defined fields; documents and images can need other handling; JSON events are often semistructured. A transactional database serves application operations, a warehouse serves analytics, and a data lake can retain multiple data formats. Product boundaries do not replace requirements. Cloud SQL is a candidate for managed relational engines; Spanner addresses distributed database needs; BigQuery focuses on analytics. Selection must consider consistency, volume, access pattern, compatibility, and cost instead of assuming the largest-scale product always fits.
Guided application
For fictional payment reporting, separate transport, processing, and presentation. Pub/Sub decouples producers and consumers; Dataflow transforms streams or batches; BigQuery enables analysis; Looker helps deliver results. The team still defines the meaning of completed payment and reconciles results to the source. Reprocessing the same file can duplicate entities if identity handling is missing. In Cloud Storage, choose classes by access pattern and total cost. Standard, Nearline, Coldline, and Archive have different tradeoffs; Archive remains online, with relevant access charges and minimum duration. Autoclass manages transitions under access rules without deciding retention or authorization. Before publishing an indicator, validate a traceable sample, the included population, and replay, delay, and correction cases.
Two dashboards with the same title can use different populations; reconcile definitions before presentation.
Common pitfalls
Warehouse as automatic core replacement; tooling as quality; Archive as offline waiting; replay as a new transaction.
Related topics: Value, cloud models, and dependencies · AI, models, and bounded agents · Modernization, cutover, and RUN
Follow data from origin to decision and validate meaning, access, and transformation.
Reference: Dataflow overview · Exam guide launched August 12, 2026