Apache Iceberg is the foundation for an open, interoperable lakehouse, but getting the best performance from all its data is hard. In this session, you’ll learn how adaptive Iceberg optimizations in Qlik Open Lakehouse significantly simplifies the ingestion and management of high-volume, frequently changing real-time data from complex sources. We’ll unbox the adaptive engine to understand key techniques it uses to deliver unmatched query performance for Apache Iceberg tables in Snowflake.
Partners
Qlik
Blue Square
1219
Sponsored Sessions
Introductory
Breakout Session
Technical Executive
Product Manager
Data Engineer
Architectures: Lakehouse, Mesh & More
3:00pm - 4:00pm
Not industry-specific
2877
Performance & Optimization
Data Lakes
Apache Iceberg
DevOps
Lakehouse
Iceberg Tables
Apache Polaris (incubating)
Snowflake Horizon Catalog
Mon, Jun 2
All Days
Not department-specific
Other (Industry-A)
Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
DevOps & Observability (Topic)
Data Engineer (Role)
Product Manager (Role)
Technical Executive (Role)
OnDemand
Monday, Jun 02
3:00 p.m. Monday, Jun 02
Intermediate
Theater Session
Technical Executive
Product Manager
Data Engineer
Architectures: Lakehouse, Mesh & More
2:00pm - 3:00pm
Not industry-specific
2894
Performance & Optimization
Apache Iceberg
Streaming
Data Engineering & Pipelines
AI & GenAI
Lakehouse
Data Warehouse
Iceberg Tables
Apache Polaris (incubating)
Cortex AI LLMs
All Days
Theaters are first come, first seated
Not department-specific
Other (Industry-A)
AI & GenAI (Topic)
Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
Data Engineering & Streaming (Topic)
Data Engineer (Role)
Product Manager (Role)
Technical Executive (Role)
Vertical Village
2:00 p.m. Tuesday, Jun 03
Tuesday, Jun 03
Apache Iceberg powers the new world of open high-performance lakehouses, but how does it work? In an SAP-based manufacturing demo, see how Qlik — in collaboration with Snowflake and AWS — fully uses Iceberg. Explore data pipelines integrating IoT devices, structured SAP data and other sources, all managed within Snowflake and AWS. Learn how Qlik enhances Iceberg-managed data with real-time Snowflake Cortex AI integration, Open Catalog and Bedrock Generative AI to elevate analytics and insights.
Speakers
Dave Freriks
Technology Evangelist
Qlik
David Freriks is a Technology Evangelist in the Technology Alliances team at Qlik. Dave’s mission is to help spread the word on the power of the Qlik Platform with Snowflake systems and build integrations with technologies related to that ecosystem. He has spent 20+ years in the business intelligence space working at Qlik, SAP, IBM, and Cognos helping launch new products to market. Dave has a background in data warehousing and a Mechanical Engineering degree from Texas Tech University. He is married with two kids, and two Australian Shepherds.
Jason Hall
Principal Solutions Architect
Qlik
Jason is a seasoned solutions architect with over 20 years of experience in building scalable data and analytics platforms. At Qlik, he helps enterprise clients modernize legacy data environments through Lakehouse architectures that unify batch and streaming data, support open formats including Iceberg, and enable high-scale, low-latency workloads. His expertise spans ELT and ETL pipeline orchestration, compute optimization, and platform observability.