Wolfram Wingerath
where else to find them
no profile links on file
what they talk about
all 6 in the filters
where they keep going back
- code.talks5 editions2017–2024
on a stage with
- Felix Gessertonce
- Sebastian Grebaschonce
who talks about the same things
- Sylvain Wallez11 talks
- Eric Johnson25 talks
- Michael Dowden9 talks
- Sunil Pai14 talks
- Jani Eväkallio18 talks
- Tejas Kumar66 talks
| title | conference | date |
|---|---|---|
| Most of the Time It Works Every Time: The Mindset Behind Using Probabilistic Data Structures | code.talks 2024 | 2024-09-19 |
Shows that skip lists use a 50/50 coin flip to promote nodes so searches run in O(log n) with high probability while using about 2n pointers of space; lowering… | ||
| Data Validation at Scale: Managing Data Quality in Complex Data Pipelines | code.talks 2023 | 2023-09-14 |
Built a monitoring/data science pipeline for web performance tracking that enforces constraints (Python schema checks) and runs continuous incremental… | ||
| Why Google’s CrUX Results Are Not Reproducible With Your Real-User Monitoring | code.talks 2022 | 2022-09-15 |
Claims that CrUX and in-house RUM both reflect reality but measure different samples: CrUX reports monthly rolling 28‑day aggregates from opt-in Chrome users… | ||
| What You Say is What You Get: Hands-Free Coding in 2022 | code.talks 2022 | 2022-09-15 |
Claims a workable, low-cost hands-free coding workflow using existing speech engines plus a rule framework: uses Windows or Dragon for recognition, Talon (or… | ||
| Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors | Flink Forward Global 2021 | 2021-10-18 |
Claims a production pipeline that scales from 1 to 100+ million users in a single month by replacing ETL/Athena batch jobs with a continuous analytics stack… | ||
| Big Data Analytics With AWS Athena | code.talks 2019 | 2019-10-24 |
A custom ETL of gzipped CDN logs plus MongoDB session and event collections gets replaced by Athena querying S3 tables, collapsing the join-and-index nightmare… | ||
| Real-Time Databases Explained: Why Meteor, RethinkDB, Parse & Firebase Don't Scale | code.talks 2017 | 2017-09-28 |
Claim: popular real-time databases struggle to scale because they either force every app server to see every write or they centralize update broadcast. Meteor… | ||
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