Extend, Don't Replace

You've already invested in Qlik Replicate. Your CDC pipelines run against databases, mainframes, and SAP systems. They deliver. Day in, day out.

But every byte they send to your cloud data warehouse costs you compute and storage. As data volumes grow, those costs scale with them.

There's a better path: add Apache Iceberg as a target. Qlik Open Lakehouse gives you a fully managed Iceberg destination that sits alongside your existing warehouse targets. You keep your source configurations, your CDC logic, your schema mappings. You add a new target and route the right data to the right place.

The result: lower ingestion costs, real-time data in open format, and zero re-platforming. Your pipelines stay the same. Your architecture gets smarter.

This workshop shows you exactly how to do it, live, with your hands on the keyboard.


Who Should Attend

You should attend if you:

  • Run Qlik Replicate today and want to extend your pipelines to Iceberg-based targets
  • Are evaluating or already committed to an Apache Iceberg data architecture
  • Want to reduce cloud data warehouse ingestion costs without re-platforming your stack
  • Own or manage data pipelines and need to keep data fresh while keeping costs down

What You Walk Away With

  • Configure an Iceberg target on an existing Replicate pipeline, hands-on during the session
  • See exactly how open lakehouse architecture reduces ingestion and compute costs compared to warehouse-only delivery
  • Determine when to route data to Iceberg vs. your cloud data warehouse, and why that choice matters
  • Leave with a repeatable approach you can roll out across your environment, no migration project required

Save My Seat


AGENDA

Agenda (60 Minutes)

0:00–0:15
Introduction

Welcome, session objectives, and an overview of how Qlik Replicate connects to Qlik Open Lakehouse. We set the context: why Iceberg, why now, and what this means for the pipelines you already run.

0:15–0:45
Hands-On Workshop

You configure a Replicate pipeline to deliver data to an Iceberg target in real time. We cover source-to-target mapping, schema evolution, and automated optimisation, all inside live breakout rooms with direct support from the team.

0:45–1:00
Recap and Q&A

We bring everyone back together to recap key takeaways, answer your questions live, and outline next steps for extending this approach across your environment.


Can't make the live session? Register anyway — we'll send you the recording and self-service access either way.

SPEAKERS

Ben Saunders
Ben Saunders

Director, Product Marketing, Qlik

Jason Hall
Jason Hall

Field CTO - Data Integration, Qlik

Zoe Johnson
Zoe Johnson

Chief Architect Data, EMEA


Get in touch

Do you have questions?


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