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Peliqan

Peliqan Infographics

Make complex data concepts easier to understand with clear, visual infographics. Explore our collection of data architecture and integration infographics, covering everything from data warehouses and ETL pipelines to modern data stacks and AI architectures.

From foundational concepts to modern data infrastructure, use these infographics to quickly understand how different technologies, workflows, and systems connect.

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Data warehouse architecture diagram (1, 2 and 3-tier)

A data warehouse architecture diagram shows three things: where your data lands, where it is given shared meaning, and where people and
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ETL vs ELT diagram: what actually changes

A side-by-side ETL vs ELT diagram showing where the transformation runs, what happens to your raw data, and how to pick. Free
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ETL architecture diagram: the five stages

An ETL architecture diagram showing the five pipeline stages, plus the four concerns that have to span all of them for the
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Modern data stack diagram (2026)

A modern data stack diagram: the five layers from source to activation, plus the governance that has to run through all of
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Reverse ETL diagram: how the loop closes

A reverse ETL diagram showing warehouse data synced out to the tools people work in, and the activity it produces pulled back
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Data warehouse vs data lake vs lakehouse

Data warehouse vs data lake vs lakehouse compared in one diagram: when the schema is applied, what each stores, and what to
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MCP architecture diagram: how MCP works

An MCP architecture diagram showing how AI clients, the MCP server and your business systems connect, and where credentials and access control
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MCP vs API vs ETL for AI agents

Three ways to give an AI agent access to business data compared: an API integration per app, ETL to a warehouse, or
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Data mesh architecture diagram: the four principles

Data mesh architecture explained with a diagram: domain ownership, data as a product, self-serve platform and federated governance. Free to reuse.
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Data quality dimensions diagram: the six, with examples

The six dimensions of data quality explained with a diagram: completeness, accuracy, consistency, timeliness, validity and uniqueness. Free to reuse.
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Data fabric vs data mesh: comparison diagram

Data fabric vs data mesh compared in a diagram: ownership, what each centralises, and when each one works. They are not alternatives.
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Customer data platform architecture diagram (CDP)

CDP architecture explained with a diagram: identity resolution, the unified profile and activation, plus packaged vs composable CDPs. Free to reuse.