Data Engineering

Pipelines, stores, transforms, quality, lineage

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pipeline6 transform15 storage23 streaming13 quality58 catalog18 orchestration2 relational50 modelling50

pipeline

backfill migrate pipeline sync sync-source sync-two-way

transform

aggregate elt enrich etl filter join mapping materialise parser schema-evolve schema-map splitter transform union upsert

storage

backup blob cell column data-lake data-warehouse database database-add database-arrow-down database-arrow-up database-backup database-check database-remove database-search database-zap index-data partition primary-key purge replica restore row warehouse

streaming

backfill-data backpressure cdc change-capture consumer event-stream message-queue offset priority-queue producer stream stream-job tombstone

quality

annotator anomaly-data bucket-data canonicalize class-balance constraint-db data-augment data-contract data-contract-break data-quality data-validation dataset-card dataset-split dataset-version dedupe-fuzzy deduplicate distribution-shift duplicate entity-resolve expectation feature feature-cross feature-drift freshness-check gold-label groupby holdout label label-queue label-review lineage-node noise-inject normalize-data null null-check null-fill one-hot outlier-remove perturb pivot quality quality-gate record-link retention-policy row-count-check sample-rows schema schema-diff schema-pin staleness stratified-sample synthetic-flag synthetic-row target-leak unpivot volume-anomaly weak-label winsorize

catalog

compaction data-catalog data-owner data-tag delta-table foreign-key governance iceberg-table index index-db lineage metadata-store parquet provenance table treemap window-function z-order

orchestration

relational

auto-increment cardinality cascade-delete check-constraint collation composite-key connection-pool cross-join cte default-value distinct-rows explain-plan full-text-index group-by index-bloat index-covering inner-join isolation-level materialized-view n-plus-one not-null-constraint null-value nullable-column optimistic-lock order-by orm outer-join partition-table pessimistic-lock query-cache query-hint query-timeout read-replica referential-integrity row-lock savepoint seed-data self-join sequence-db slow-query stored-procedure subquery surrogate-key table-lock table-scan transaction truncate-table unique-constraint vacuum-db write-ahead-log

modelling

audit-table bitemporal branch-data change-log-table clustering-key columnar-store conformed-dimension copy-into data-mart data-model data-vault dbt-model denormalise dimension-table effective-date entity-relation external-table fact-table federated-query file-format flatten-nested full-refresh grain-table hard-delete idempotent-load incremental-model junk-dimension late-arriving-data lineage-column lineage-table manifest-file merge-into migration-down migration-up nested-field partition-prune row-store schema-registry schema-version slowly-changing-dimension snowflake-schema soft-delete staging-table star-schema struct-column surrogate-map time-travel-query unload-data watermark-column wide-table

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235 Data Engineering icons in outline and duotone at three weights, generated from one grid so nothing in the set can drift out of step. MIT licensed — commercial use, no attribution, no seat count.

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Tags across Data Engineering

copy7 merge7 record7 empty6 columns5 load5 lookup5 rows5 append4 change4 check4 combine4 contract4 history4 key4 match4

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pipeline6 transform15 storage23 streaming13 quality58 catalog18 orchestration2 relational50 modelling50

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