In this episode we speak with Justin Borgman Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently… Read More »The Analytics Engine for All Your Data with Justin Borgman @ Starburst
In this episode we speak with Paul Singman Developer Advocate at Treeverse / LakeFS. LakeFS is an open source project that allows you to transform… Read More »Transform Your Object Storage Into a Git-like Repository With Paul Singman @ LakeFS
In this episode of Building The Backend we hear from Dipti Borkar cofounder @ Ahana a managed service for Presto on AWS, where we talk… Read More »Architecting a Modern Data Lake with Dipti Borkar from Ahana
In this episode, we speak with Mark Cusack, CTO at Yellowbrick. Yellowbrick is a data warehouse platform that was built from the ground up for performance and cost that can be deployed across clouds and on-prem.
In this episode, we speak with H.O. Maycotte. H.O. is the CEO/founder of Molecula, an enterprise feature store that simplifies, accelerates, and controls big data access to power machine-scale analytics and AI.Molecula is powered by Pilosa, an open source project created by H.O. and team. Pilosa eliminates the need to copy data between systems in order to make it accessible for analytical and machine learning purposes at scale. Leading companies like Spotify, Hulu, Uber, Zillow, ESPN are all utilizing Pilosa.
I’m really excited about this episode where we will speak with Kapil Surlaker, the vice president of engineering at LinkedIn. Kapil has been with LinkedIn for over 10 years and has played an instrumental role in shaping the data architecture that LinkedIn is built on top of. In this episode, we cover a wide range of topics surrounding data architecture from: How metadata is captured and served up, Future-proofing the data architecture, The shift from on-prem to Azure, How LinkedIn monitors the quality of there data in real-time.