Hadoop

In this episode, Patrick and Jason cover Agentic Coding! 

In 2002, Hadoop hit the scene, and quickly became a media darling. Twenty years later, typing the term into a search engine will return questions about its continued relevance—or possible lack thereof.Is Hadoop still important? Where is it most visible today? The Compiler team di ...  Show more

<div> <h2>Preamble</h2> <ul> <li>Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure</li> <li>Go to dataengineeringpodcast.com to subscribe to the show, ...  Show more

In this episode I speak about data transformation frameworks available for the data scientist who writes Python code. The usual suspect is clearly Pandas, as the most widely used library and de-facto standard. However when data volumes increase and distributed algorithms are ...

<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 ...