In last episode, we talked about 2-3 trees, where the nodes of every tree contain data in the form of keys, as well as potential child nodes, and can contain more than one key. This takes us to b-trees, which is a generalized version of the 2-3 tree, and are super efficient for storing data in an indexed database, like MySQL. Based on Vaidehi Joshi's blog post, "Busying Oneself With B-Trees".

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Vaidehi Joshi (co-host)

Vaidehi is a writer and an engineer at Tilde, where she works on Skylight. She's the creator of basecs, a weekly writing series that explores the fundamentals of computer science.

Saron Yitbarek (co-host)

Saron is a developer, podcaster, founder of CodeNewbie, and host of the CodeNewbie Podcast.

CodeNewbie

CodeNewbie is the most supportive community of programmers and people learning to code. They produce the CodeNewbie Podcast and the annual Codeland conference. Follow them on twitter @CodeNewbies. For more info, checkout www.codenewbie.org