The fast path to an AI-ready lakehouse with Fivetran Managed Data Lake Service
March 31, 2026
9 AM - 10 AM PDT
Virtual
Jamie Cole
Jack Lowery
Ingest data into cloud storage with high-performance, fully managed pipelines — including automatic conversion to open table formats
Use the Fivetran Iceberg REST catalog to automatically catalog your data for seamless discovery and querying
Query tables using open standards like Apache Iceberg and Delta Lake across your analytics ecosystem
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Building a modern lakehouse shouldn’t mean stitching together ingestion pipelines, table formats, and managing metadata yourself. Yet many teams still struggle with fragmented data, complex setup, and the operational overhead of making cloud storage truly queryable and AI-ready.
Join us for a live session on March 31 to learn how to quickly build a fully operational lakehouse architecture using your chosen data lake and Fivetran’s Managed Data Lake Service — without the heavy lifting. We’ll show you how to seamlessly centralize structured and unstructured data from 700+ sources into cloud storage and make it instantly queryable with open table formats like Apache Iceberg and Delta Lake.
The result is a modern, interoperable lakehouse architecture with open table formats, automatically cataloged metadata, and a cost-effective foundation built for AI/ML workloads and enterprise-scale governance. This is your fast path to a fully queryable, AI-ready lakehouse — without having to assemble and maintain it yourself.
Ingest data into cloud storage with high-performance, fully managed pipelines — including automatic conversion to open table formats
Use the Fivetran Iceberg REST catalog to automatically catalog your data for seamless discovery and querying
Query tables using open standards like Apache Iceberg and Delta Lake across your analytics ecosystem
Jamie Cole
Jack Lowery
Jamie Cole
Jack Lowery
Building a modern lakehouse shouldn’t mean stitching together ingestion pipelines, table formats, and managing metadata yourself. Yet many teams still struggle with fragmented data, complex setup, and the operational overhead of making cloud storage truly queryable and AI-ready.
Join us for a live session on March 31 to learn how to quickly build a fully operational lakehouse architecture using your chosen data lake and Fivetran’s Managed Data Lake Service — without the heavy lifting. We’ll show you how to seamlessly centralize structured and unstructured data from 700+ sources into cloud storage and make it instantly queryable with open table formats like Apache Iceberg and Delta Lake.
The result is a modern, interoperable lakehouse architecture with open table formats, automatically cataloged metadata, and a cost-effective foundation built for AI/ML workloads and enterprise-scale governance. This is your fast path to a fully queryable, AI-ready lakehouse — without having to assemble and maintain it yourself.