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Datacast Episode 116: Distributed Databases, Open-Source Standards, and Streaming Data Lakehouse with Vinoth Chandar

Datacast Episode 116: Distributed Databases, Open-Source Standards, and Streaming Data Lakehouse with Vinoth Chandar

Vinoth Chandar is the creator and PMC chair of the Apache Hudi project, a seasoned distributed systems/database engineer, and a dedicated entrepreneur. He has deep experience with databases, distributed systems, and data systems at the planet scale, strengthened through his work at Oracle, Linkedin, Uber, and Confluent.

During his time at Uber, he created Hudi, which pioneered transactional data lakes as we know them today, to solve unique speed and scale needs for Uber’s massive data platform. Most recently, Vinoth founded Onehouse - a cloud-native managed lakehouse to make data lakes easier, faster, and cheaper.

Datacast Episode 110: Wisdom in Building Data Infrastructure, Lessons from Open-Source Development, The Missing README, and The Future of Data Engineering with Chris Riccomini

Datacast Episode 110: Wisdom in Building Data Infrastructure, Lessons from Open-Source Development, The Missing README, and The Future of Data Engineering with Chris Riccomini

Chris Riccomini is an engineer, author, investor, and advisor. He has worked on infrastructure as an engineer and manager for about 15 years at PayPal, LinkedIn, and WePay. He was involved in open source as the original author of Apache Samza and an early contributor to Apache Airflow. He has also written a book with Dmitriy Ryaboy called The Missing README, a guide for software engineers. Lately, he has been investing in startups in the data space.