Column by your name: The analytics database t...

Ryan welcomes Anthony Vinci, former senior intelligence officer and author of The Fourth Intelligence Revolution, to explore AI’s evolving role in intelligence in places like translation and image analysis, the challenges of evolving modern tech into government infrastructure, an ...  Show more

Ryan sits down with Michael Parker, VP of Engineering at TurinTech to discuss the newest kind of tech debt—AI-generated tech debt. They dive into the uneven productivity results of AI tools, how tech teams are evolving their roles and work in response to these massive technologic ...  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 ...

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

A large fraction of data engineering work involves moving data from one storage location to another in order to support different access and query patterns. Singlestore aims to cut down on the number of database engines ...

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

Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling st ...

If you’re a data scientist, you know how important it is to keep your data orderly, clean, moving smoothly between different systems, well-documented… there’s a ton of work that goes into building and maintaining databases and data pipelines. This job, that of owner and maintaine ...  Show more