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Project Meeting 2022 April
samanthashain edited this page Apr 6, 2022
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Convene Data Gen contributors to discuss community contributions, upcoming events, and project leadership.
April 6, 3 PM ET AMER
Patrick M, Samantha S (recording), Junette T, Jennifer C, Eileen K, Cori O, Jess L, Jung M, Aaron C, Emily H, Paul P
- The deck is very well prepared, very well designed for beginners
- Junette is an excellent presenter. Clear, thoughtful, precise
- Encouraging tone
- Useful "roadmap" (now we've done this, next we're going to do this)
- Timing was excellent
- Attendance was 177, with 165+ staying for the full event
- Cori's VP and Sam's friends said the training was excellent
- FAQ: What does Snowfakery not do? Data masking
- 50% partners, 40% customers, 10% staff
- 98% customer satisfaction
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cci task run snowfakery
is faster for large batches. could load 10,000 to show the capability. Paul's bias is scale as a performance engineer. - there are slightly different considerations for snowfakery commands vs cci commands
- new idea - cci command with a dry run option
- feedback - when the slides have links, try to post in the chat
- first time doing a webinar
- Snowfakery 3.0 introduced ability to update records
- upsert functionality is coming soon (safe harbor)
- Snowfakery now handles decimals better (ie longitude and latitude) - talk to Paul if you need to learn more about this
- random references to nicknames (FAQ!!!)
- in the past, you can traverse object relationships unless you are using random reference. Soon this will work for random references too (safe harbor)
we need to be able to set some general parameters for what we hope to achieve
- what are our major workstreams? (1) snowfakery recipes (2) faker providers (3) Fake ETL tool reviews
- what is the categorization framework for recipes (1) getting started: no macros, no include, no providers (2) scenario driven recipe: useful for product demos, unlikely to be reproduced (3) component recipes: more complicated features, designed for modular reproducibility
- attendees
- breakout groups (7)
- marketing
- prep intro slides: Eileen
- prep issues: Recipe workstream (Jennifer C)
- vols for beginner Snowfakery room
- action item: move tool comparison into issues
- 4/14 1:30-3:30 PM ET AMER
- BYO project or claim an issue
- BYO buddy
- Limited support available (synchronous)
- video demos of Snowfakery
- panel on DEI and fake data
- recipe organization structure
- recipe reviewer capacity building