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Data Engineering

Transform icons

15 icons in the transform group of Data Engineering: Aggregate, ELT, Enrich and 12 more — each in outline and duotone at three weights, with the code for React, Vue, Svelte, Flutter and more.

15 icons · 1 of 9 groupsOpen in browser

The 15 transform icons in Data Engineering, described

Aggregateaggregate
Aggregate — roll many rows up into one number, a sum, an average or a count.
ELTelt
ELT — load the data first, then transform it inside the warehouse.
Enrichenrich
Enrich — the same rows with more information joined on to them.
ETLetl
ETL — extract data from a source, transform it, and load it where it will be used.
Filterfilter
A filter funnel that keeps only what matches — narrow a list, a query or a stream of results.
Join tablesjoin
Join tables — rows matched where their keys agree, merged into one result.
Mappingmapping
A mapping — each of these matched to one of those, a translation between sets.
Materialisematerialise
Materialise — a query's answer made into a solid, cached table.
Parserparser
A parser — text going in, a structured tree coming out the other side.
Schema evolutionschema-evolve
Schema evolution — a table grows a column without breaking what reads it.
Schema mapschema-map
A schema map — this field over there is that field over here, a translation between shapes.
Splittersplitter
A splitter — one stream fanned out into two so both branches receive it.
Transformtransform
Transform — data goes in one shape and comes out another, converted and reshaped.
Unionunion
Union — everything from both sets combined into one with duplicates kept once.
Upsertupsert
Upsert — update the row if it exists, insert it if it is new.

In code, each is one import — import { Aggregate } from "@iconmind/react/icons/aggregate" — and the same name in Vue, Svelte, Solid, Preact, React Native, Astro, Blade and Flutter.

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Every transform icon in Data Engineering, free to ship

15 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.

Other groups in Data Engineering