Anjan Kundavaram, Fivetran | Databricks Data + AI Summit 2024
summary
Fivetran claims customers can pipe data to a lake in four clicks and supports 500 data sources, with over 200 customers on its Managed Data Lakes. The product delivers a SaaS control plane with an optional hybrid data plane on-prem or in VPC, automatically producing Delta and Iceberg tables and handling schema evolution, updates and governance. Case studies include a publisher with trillions of event points unified for personalization and retailers using the unified store to feed LLM-assisted customer support.
AI-written summary · about
chapters (14)
- 0:00Welcome and introduction
- 0:49Fivetran's role at Fivetran
- 1:32Why Fivetran is easy to use
- 2:36Driver of data movement
- 4:43Consumption models and deployment
- 5:25Target customer spectrum
- 6:07Customer success stories
- 7:10Goldman Sachs AI example
- 8:13Relationship with Databricks
- 9:36Open-source and data formats
- 11:44Prioritizing product roadmap
- 12:46AI tailwinds and trends
- 13:32Product-led growth drivers
- 14:33Future outlook and announcements
related talks
13mTaylor Brown, Fivetran | Databricks Data + AI Summit 2023
17mDatabricks LakeFlow: A Unified, Intelligent Solution for Data Engineering
31mData Mesh & Data Vault
52mElevate your data and AI governance with Databricks Data Intelligence Platform
29mLakeside AI: Bringing Models to Data with Open Lakehouses & Agents)
02mDatabricks at GoDataFest 2019
47mData analytics for the era of AI
50mMicrosoft Fabric Data Factory Q&A