The Managed Data Lake: Business value, use cases, and how to build it
Partner Capability: Business Value & Use Cases
January 27, 2027
4-4:45 PM GMT / 11-11:45 AM EST
Virtual
Angel Hernandez
What "open" really means here, one governed copy of data that Snowflake, Databricks, and any Iceberg-REST-speaking engine (including AI tooling) can all read at once, instead of paying to duplicate and re-ingest it per engine. The customers who feel the cost of duplicated storage and per-engine ingest compute today, not accounts already fully committed to one platform's proprietary format. Fivetran absorbs the ingest compute that normally runs 20–30% of destination spend, so the pitch is lower TCO and faster AI readiness, not a rip-and-replace.
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Ever priced out storing the same customer data three separate times, once per engine, just so nobody has to migrate off their platform of choice?
Fivetran's Managed Data Lake Service lands data as open Iceberg and Delta tables in a customer's own cloud storage, with Fivetran handling ingestion, deduplication, and table maintenance behind the scenes. This session covers what that actually buys a customer, where it fits best, and how a partner builds and prices it.
Who should attend: Solution architects and delivery consultants scoping storage and compute architecture for smaller and mid-sized clients, and account owners looking for a lower-friction way to introduce open data infrastructure into a customer conversation.
What "open" really means here, one governed copy of data that Snowflake, Databricks, and any Iceberg-REST-speaking engine (including AI tooling) can all read at once, instead of paying to duplicate and re-ingest it per engine. The customers who feel the cost of duplicated storage and per-engine ingest compute today, not accounts already fully committed to one platform's proprietary format. Fivetran absorbs the ingest compute that normally runs 20–30% of destination spend, so the pitch is lower TCO and faster AI readiness, not a rip-and-replace.
Angel Hernandez
Angel Hernandez
Can’t make it to the live session? Register so we can send you the recording after the show wraps up!
Ever priced out storing the same customer data three separate times, once per engine, just so nobody has to migrate off their platform of choice?
Fivetran's Managed Data Lake Service lands data as open Iceberg and Delta tables in a customer's own cloud storage, with Fivetran handling ingestion, deduplication, and table maintenance behind the scenes. This session covers what that actually buys a customer, where it fits best, and how a partner builds and prices it.
Who should attend: Solution architects and delivery consultants scoping storage and compute architecture for smaller and mid-sized clients, and account owners looking for a lower-friction way to introduce open data infrastructure into a customer conversation.