A database built for a firehose

Ryan welcomes Trisha Gee, a Java champion and developer productivity advocate, to explore how AI is transforming the role of IDEs and the broader developer experience; the relevance of traditional tools, muscle memory, the risks of hype; and how to adapt workflows for AI-driven d ...  Show more

On this episode of Leaders of Code, Eric Anderson, director of engineering at Intuit, joins Stack Overflow engineering director Ben Matthews to talk about what happens to software teams when AI makes code generation seemingly free.Eric explains how Intuit rolled out Claude Code a ...  Show more

Writing data is easy. You take in the information and put it away for future use. It’s remembering exactly what you wrote and where you put it that’s the challenge. Just like having to look for your keys as you try to rush out the door, getting that data quickly makes all the dif ...  Show more

I get a lot of emails asking me to talk about graph databases, so I want to start researching them, but I wanted to give you guys the framework of how I think about any databases to defuse any “magic” that might be there.

In this video, I discuss what constrains a datab ...

In this episode, we talk about database architectures and some of their use cases, with Kyle Bernhardy, CTO of HarperDB. Kyle talks about what a database is, different types of databases, and when you might want to use one type of database over another. Show Links DevDiscuss (spo ...  Show more

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

The most expensive part of working with massive data sets is the work of retrieving and processing the files that contain the raw information. FeatureBase (formerly Pilosa) avoids that overhead by converting the data int ...