Recent Episodes
Episode 437: Tim Sneath on the Architecture of Flutter
Tim Sneath, product manager for Flutter and Dart at Google, discusses what Flutter is, why it was created, and where Dart came from, as well as what the different layers of Flutter are and why it’s so popular. Host Gavin Henry spoke with Sneath about the “Architecture of Flutter,” what cross-platform development is and platforms […]
Episode 436: Apache Samza with Yi Pan
Yi Pan, lead maintainer of Apache Samza discusses the internals of the Samza project as well as the Stream Processing ecosystem. Host Adam Conrad spoke with Pan about the three core aspects of the Samza framework, how it compares to other streaming systems like Spark and Flink, as well as advice on how to handle […]
Episode 435: Julie Lerman on Object Relational Mappers and Entity Framework
Julie Lerman discusses Object Relational Mappers and Entity Framework with Jeremy Jung. They talk about why we use relational databases with object oriented languages; the benefits of ORM query languages; how specialized databases are reducing the need for ORMs; alternatives to ORMs; using views, stored procedures, and raw SQL with ORMs; the importance of profiling […]
Episode 434: Steven Skiena on Preparing for the Data Structures and Algorithm Job Interview
Steven Skiena, author of The Algorithm Design Manual and a professor at Stony Brook University, discusses the use cases for data structures and algorithms in a professional setting. Adam Conrad spoke with Skiena about why these concepts need to be studied by professionals and not just students. They discussed strategies for studying The Algorithm Design […]
Episode 433: Jay Kreps on ksqlDB
Jay Kreps, CEO and Co-Founder of Confluent discusses ksqlDB which is a SQL engine for data in Apache Kafka. Jay talks about stream processing, Kafka and how the data can now be queried with push/pull queries with ksqlDB, similar to a relational database. Jay discusses some of the similarities and differences between SQL databases and […]
