An interview with Brandon Beidel about his experiences at Red Ventures designing and supporting analytical data platforms for his customers and how he and his team have established a set of useful pat

An interview with Adi Gelvan about how he and his team re-engineered the RocksDB key/value storage engine for accelerated performance on high volume and high throughput workloads.

An interview with Balaji Ganesan about how Privacera levels up the open source Apache Ranger project to bridge data governance from on premise datacenters to the cloud without compromise.

An interview with Mei Tao and Francisco Alberini about their experiences working with data teams as they adopt data observability and incident management strategies and how to start introducing those

An interview with Kishore Gopalakrishna and Xiang Fu about how the Apache Pinot storage engine is designed to support low latency, high concurrency, and fast updates for powering end-user facing embed

An interview with Tristan Spaulding, head of product at Acceldata, about the goals and challenges of data observability and how they are looking to differentiate themselves through a multidimensional

An interview with Tarush Aggarwal about his work at 5X Data to help organizations adopt the modern data stack to advance their analytical capabilities and accelerate their business.

An interview with Hannes Mühleisen about the DuckDB engine for in-process OLAP queries that lets you use the power of SQL and the flexibility of programming languages side by side.

An interview with Stephen Goldberg, CEO of HarperDB, about how he and his team are building a fast, scalable, and developer friendly database engine that supports edge, cloud, and datacenter environme

A monologue by Tobias Macey, the host of the show, about the design considerations involved in building a data platform and how the lessons learned from running the Data Engineering Podcast are influe