Data Engineering & Analytics

Reprocessing records can change totals if the job applies current rules to historical data, handles duplicates differently, or updates records that were previously counted. A successful job does not guarantee repeatable output. What to check Compare input snapshot, transformation version, keys, update strategy, and before-and-after totals by period....

Teams may see different totals because reports apply role-based filters, data entitlements, local time zones, or saved views. The discrepancy may be intentional or may indicate inconsistent metric logic. What to check Compare permissions, row-level filters, saved report settings, refresh times, time zones, and shared metric definitions. Check the same...

Adding an index should affect query performance, but reports can change if the query plan exposes different join behavior, collation, null handling, or stale statistics. A faster query is not proof that it returns the same business result. What to check Compare query text, execution plan, database version, collation, statistics, and row counts before...

A late correction can update source records after reports have already been published. Depending on whether pipelines overwrite, append, or snapshot data, totals may change in only some periods or dashboards. What to check Compare correction timestamp, event time, watermark, transformation version, report cache, and historical update policy. Trace...

Merging customer accounts can change report totals if historical events are reassigned, duplicate records are removed, or reports use current account state. Differences can be expected, but unexplained changes reduce trust. What to check Compare merge history, identity keys, event ownership, deduplication, report definitions, and refresh time. Trace...

Two dashboards can disagree when they use different time zones, refund rules, status filters, or refresh schedules. The discrepancy may be a definition issue rather than a broken calculation. What to check Compare metric definitions, source tables, date boundaries, currency conversion, included order states, refunds, and last successful refresh. Trace...

A missing day in a report may result from late-arriving source data, a timezone boundary, a failed incremental load, or a watermark that advanced too early. What to check Compare source counts with landing and warehouse counts around the missing interval. Inspect job history, watermark values, timezone conversion, and late-arrival handling before...

Imports can expand records when joins match multiple reference rows, retries replay data, or one source row intentionally maps to multiple outputs. What to check Compare input and output counts by batch ID, inspect join cardinality and duplicate keys, and check retry and merge behavior. Trace a few expanded records back to their source rows....