Shorten the distance between production data ...

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>

While the overall concept of timeseries data is uniform, its usage and applications are far from it. One of the most demanding applications of timeseries data is for application and server monitoring due to the problem o ...

<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>

Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date ...

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

Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Sometimes, however, one of those transformation ...