AGENTIC FOR DATA ENGINEERING

Data engineered by agents. Delivered for agents.

Name: Agentic Data Engineering | Qlik Talend Cloud
Brand: Qlik

Data engineering's agentic moment is here. Accelerate mundane data integration tasks with agents specifically designed for the data engineer. Design the architecture, context, and guardrails that feed real-time data throughout the enterprise.

Gartner Report

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The new reality for data engineers

Your value is no longer measured by just moving data from Point A to Point B. It’s about building the trusted infrastructure that systems rely on to drive decision-making without putting the business at risk.

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Real-time is no longer optional

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The complexity wall

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The shift in demand

Put the pipeline on autopilot

Qlik’s data integration agents eliminate mundane, heavy lifting.

Diagram of AI-powered data engineering pipeline showing agents for coding, data quality, resource allocation, and operations connected by data flows.

Generate pipelines, keep control

Coding agents automate pipeline generation and rigorous data quality tasks, and you never lose control of the code.

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Keep the data fresh

Enable real-time decision-making and agile responses to rapidly changing business requirements.

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High-quality and context-aware

Work with confidence: your data is accurate, audited, and semantically enriched.

KEY RESOURCE

The Evolution of the Data Engineer

Rethinking pipelines, data operations, and data quality for the Agentic AI era

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Individual holding a tablet while viewing projected code and data elements on a wall, with abstract digital graphics overlaid, illustrating data engineering and AI technology.

Let Qlik agents handle the busy work, so you can architect

Agentic data engineering turns raw data into content that your agents can act on. Let it handle the builds and monitoring so you spend your time on design, not maintenance.

Curate a trusted context layer

Move from ETL to Knowledge Graphs. Equip agents with the rich metadata, business logic, and quality scores they need to reason accurately.

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Master AgentOps and memory

Own the AgentOps layer: monitor "reasoning traces," detect logic drift, and manage real-time Vector database memory.

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Close the feedback loop

Build self-improving systems by capturing the “digital exhaust” (reasoning logs) of AI agents and feeding it back into the system to fine-tune operations.

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