Apache Iceberg is the open table format of record for the modern enterprise. But storing data in Iceberg is only the beginning. Ingesting it reliably, transforming it at scale, governing it for trust, and getting analytics on top — without the operational burden — is the real challenge.
In this Qlik Connect Breakouts session, Arnaud Meyniel, Head of Data Fabric, and Tim Garrod, Head of Data Pipelines, show how Qlik Talend Cloud® solves it end to end.
What you’ll learn:
- How Qlik Open Lakehouse automates real-time ingestion (CDC, streaming, batch) from 200+ sources directly into Apache Iceberg tables on Amazon S3
- How the Adaptive Iceberg Optimizer continuously manages compaction, partitioning, and snapshot expiry — automatically
- How Talend® Studio supports complex ETL and Spark-scale transformations with coverage across AWS Glue, Unity Catalog, Polaris Catalog, and more
- How Qlik data products add business semantics, lineage, and Qlik Trust Score® to make Iceberg datasets agent ready
- How Qlik Analytics® turns governed Iceberg tables into instant insight using Amazon Athena — no duplication, no lock-in
The numbers behind the architecture:
- 60–70% improvements in data ingestion processing costs (Nucleus Research, December 2025)
- 25–30% reductions in query compute costs
- 40–50% time savings from reduced data engineering tasks
- Up to 5x faster query performance vs. unoptimized Iceberg tables
The session includes a live use case demo — available to watch on demand right now.
