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 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.
Listen on iTunes | Listen on Spotify | Listen on Google Episode Summary: In this episode, we speak with Dr. Mark Tabladillo. Mark is a… Read More »Designing Scalable Data Architects with Dr. Mark Tabladillo from Microsoft
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.
In this episode, we speak with Tarush Aggarwal. Tarush is the founder of 5xdata, where he helps companies build a strong data foundation with self-service BI to enable the business. Prior to starting 5xData he was one of the first data engineers on the analytics team Salesforce and helped scale the data team WeWork from 5 to 100+.
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.