DataEngBytes 2023 - SYD-T3-06 - James Weakley
summary
Snowflake native applications let vendors deploy code into customer accounts and expose functionality via Snowflake primitives like tables, UDFs and stored procedures. An example product packages ETL and reverse ETL so all sync state, history and API responses store state in customer Snowflake and the same stored procs drive UI and DBT integrations. The marketplace acts as a storefront not a lead generator, providing billing, legal and instant global deployment. Expect licensing and open source models to shift and consider packaging internal tools as native apps.
AI-written summary · about
chapters (10)
- 0:00Native apps in data platforms
- 1:26Defining native apps for data
- 3:13Snowflake native apps
- 6:01Designing platform tools as apps
- 10:17Industry solutions as apps
- 12:22Data utilities in native apps
- 13:03Open source with native apps
- 15:37Licensing challenges
- 16:40Marketplace strategy
- 17:42Adopting native apps
related talks
22mEmerging Models for Data Applications
32mDataEngBytes 2023 - BRI-T1-10 Rishu Saxena & John Cosgrove
18mDataEngBytes 2023 - MEL-T3-02 - Alexei de Lauw
23mAcceleratinag Data Science and Machine Learning with Snowflake DataTech
01h 12mBuild & deploy a Snowflake Native Application using Python
13mLightning Talk: Highlights of the Snowflake Elastic Data Warehouse
27mHow To Develop & Operate An Agile Cloud Datawarehouse In A Rapidly Changing Multi-ERP Environment
23mMaturing The Snowflake Data Cloud At London Stock Exchange
