The Apache Iceberg Advantage
An in-depth review of Apache Iceberg, an open table format for enterprise data lakes.
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Episode 38
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October 24, 2023
Building a Data Science Platform on Apache Iceberg and Nessie
Discover the future of data science and machine learning pipelines with Jacopo Tagliabue of Bauplan Labs in this webinar. Learn why modern data platforms are embracing Apache Iceberg and Nessie, and explore the transformative benefits of Nessie's git-like features for data management.
Join us for an insightful webinar featuring Jacopo Tagliabue of Bauplan Labs as he dives into the world of data science and machine learning pipelines. In this session, you’ll discover the rationale behind Bauplan Labs’ choice of open-source technologies, such as Apache Iceberg table format and Project Nessie transactional data catalog, for their cutting-edge platform. Gain valuable insights into why modern data platforms are increasingly adopting these technologies and how Nessie’s git-like features can revolutionize your data management. Don’t miss out on this opportunity to stay ahead in the world of data science and technology!
About Project Nessie – Introducing Nessie as a Dremio Source
Learn:
– Why Modern Data Platforms are being built on Apache Iceberg
– Why Modern Data Platforms are being built on Nessie
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Speakers
Alex Merced
Alex Merced is a developer advocate for Dremio and has worked as a developer and instructor for companies like GenEd Systems, Crossfield Digital, CampusGuard and General Assembly. Alex is passionate about technology and has put out tech content on outlets such as blogs, videos and his podcasts Datanation and Web Dev 101. Alex Merced has contributed a variety of libraries in the Javascript & Python worlds including SencilloDB, CoquitoJS, dremio-simple-query and more.
Jacopo Tagliabue
Jacopo Tagliabue is the Bauplan Labs founder and educated in several acronyms across the globe (UNISR, SFI, MIT), he was co-founder and CTO of Tooso. Tooso was proudly serving predictions to millions of shoppers, before being acquired by Coveo (TSX:CVO).
He led Coveo’s A.I. and MLOps roadmap from scale-up to IPO, and built out Coveo Labs, an agile, applied R&D practice rooted in word-class collaborations (Stanford, Bocconi, Outerbounds, Uber, Microsoft, NVIDIA), open source and open science.
He talk *a lot*, and I’m often invited to do so by folks in industry (BBC, Walmart, Pinterest, eBay, Meta, Farfetch) and academia (SIRIP, CiE, KDD, Stanford, Harvard); He is currently an Adj. Professor of ML at NYU, which is mostly notable because it is the only job I ever had that my parents (sort of) understand.
His A.I. work has been featured several times in the general press and presented in business and academic venues (including WWW, RecSys, NAACL, as well as winning best paper at NAACL21).
In previous lives, he managed to do scienc-y things for a professional basketball team, simulate a pre-Columbian civilization and give an academic talk on videogames (among others improbable “achievements”).
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