James Campbell & Pete Soderling discussed the Great Expectations project, a favorite tool for data testing among our community. We covered recent and exciting updates - a brand new Modular Expectations API for extensibility and new batch-style data connectors - and talked about how the new data profilers work in GE. Earlier on, we also chatted about James’ previous career in various data analyst roles (including at the NSA!) to distill helpful career advice for viewers.
James Campbell is the Chief Technology Officer at Superconductive, the company behind the Great Expectations data quality management tool. He joined Superconductive after more than a decade in the US Intelligence Community, where he led Data Science and Analytics teams focused on issues from cybersecurity to political modeling. James is passionate about blending quantitative and qualitative approaches to developing insight about the world.
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About DC_THURS:
DC_THURS is a series of live online interviews with leading data professionals, with a special focus on open source contributors and startups. Each conversation is led by Pete Soderling, founder of Data Council ( datacouncil.ai/) & Data Community Fund ( dcf1.vc/). While replays are available, live attendees get a unique chance to have their questions answered by our guest - so if you can, make sure to join us live on Thursdays at 9:30am PT! Subscribe to our channel to be notified about upcoming episodes. For past episodes, check out the DC_THURS playlist: youtube.com/playlist?list=PLAesBe-zAQmHRsPAHvfx9_lffWPrl3icC
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- Testing and Documenting Your Data Doesn't Have to Suck | Superconductive ( Download)
- Durable Data Discovery: Making Exploratory Analysis Stick // James Campbell // MLOps Meetup #86 ( Download)
- Rising Hope Award - 1st LT James Campbell III ( Download)
- Superconductive | Always know what to expect from your data ( Download)
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- What is a Dataset: Emerging Core Concepts in the Modern Data Stack ( Download)
- KISS: Keep it SQL, Stupid | Fishtown Analytics ( Download)
- PostGIS in the Data Science Pipeline ( Download)
- [2022-09-08] MLOps Open Office Hours with Senior Engineer Mikiko ( Download)
