Are you looking for a way to build Iceberg tables for Snowflake? In this session, we will present a simple, battle-tested way to create your lakehouse architecture. We will dig into the toughest challenges of using Iceberg for low latency at scale and we will demo solutions to achieve minute-level freshness for ingestion, and how to run SQL, Spark and dbt pipelines to prepare your data for Snowflake.
Partners
Onehouse
Green Circle
Overview
1415
Sponsored Sessions
Intermediate
Theater Session
Technical Executive
Software Developer
Data Engineer
Architectures: Lakehouse, Mesh & More
2:00pm - 3:00pm
Not industry-specific
2844
Data Lakes
Apache Iceberg
Lakehouse
Iceberg Tables
Mon, Jun 2
All Days
Theaters are first come, first seated
Not department-specific
Other (Industry-A)
Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
Data Engineer (Role)
Software Developer (Role)
Technical Executive (Role)
Vertical Village
2:00 p.m. Monday, Jun 02
Monday, Jun 02
Speakers
Kyle Weller
VP of Product
Onehouse
Kyle Weller has been building data platforms and data products for over 10 years. He currently runs product development at Onehouse.ai building a Universal Data Lakehouse that automates data platforms to run on Apache Hudi, Delta Lake, and Apache Iceberg. Before Onehouse, Kyle was a Product Lead for Azure Databricks, he built AI products with AzureML, and has architected several planet scale data engineering platforms for Cortana, Bing, Office. Kyle has seen how hard it is for data engineers to build DIY data lakes and he looks forward to the rise of the managed Lakehouse. Outside of work Kyle volunteers as an entrepreneurship coach for incarcerated individuals.