Episodes
Episode 507: Kevin Hu on Data Observability
Kevin Hu, CEO and co-founder of the startup Metaplane, chatted with SE Radio’s Priyanka Raghavan about data observability. Starting from basics such as defining terms and weighing key differences and similarities between software and data observability, the episode explores components of data observability, biases in data algorithms, and how to deal with missing data. From there, […]
Episode 506: Rob Hirschfeld on Bare Metal Infrastructure
Rob Hirschfeld, CEO of RackN, discusses “bare metal as a service” with SE Radio host Brijesh Ammanath. This episode examines all things bare metal, starting with the basics before doing a deep dive into bare metal configuration, provisioning, common failures and challenges, achieving resiliency, and the benefits of this set up. The discussion explores standards […]
Episode 505: Daniel Stenberg on 25 years with cURL
Daniel Stenberg, founder and lead developer of cURL and libcurl, discusses what it’s been like looking after them for the past 25 years. Host Gavin Henry spoke with Stenberg about the history of cURL, libcurl, whether C was the right choice, portability, key events in those 25 years, implementing protocols, why HTTP is not so […]
Episode 504: Frank McSherry on Materialize
Frank McSherry, chief scientist at Materialize, talks about the Materialize streaming database, which supports real-time analytics by maintaining incremental views over streaming data. Host Akshay Manchale spoke with Frank about various ways in which analytical systems are built over streaming services today, pitfalls associated with those solutions, and how Materialize simplifies both the expression of […]
Episode 503: Diarmuid McDonnell on Web Scraping
Diarmuid McDonnell, a Lecturer in Social Sciences, University of the West of Scotland talks about the increasing use of computational approaches for data collection and data analysis in social sciences research. Host Kanchan Shringi speaks with McDonell about webscraping, a key computational tool for data collection. Diarmuid talks about what a social scientist or data […]
