Let’s build a modern Hadoop

Not just another Hadoop rant — I promise

If you’ve been around the big data block, you’ve probably felt the pain of Hadoop, but we all still use it because we tell ourselves, “that’s just the way infrastructure software is.”…

A Step-by-Step Guide to Creating a Docker Image

The Anatomy of the Dockerfile and How to Build, Tag…

The 5 Stages of Grief

On the Road to Big Data

Data infrastructure is really hard and it’s hard for a lot of different reasons. Each company’s needs feel so completely unique, which is only compounded by the fact that there are thousands of different software tools…

Hold Your Machine Learning and AI Models Accountable

Jupyter + Pachyderm — Part 1, Exploring and Understanding Historical Analyses

When Grandmasters Blunder

A statistical analysis of chess.

Versioning and Labeling — Better Together

Label Studio + Pachyderm

Sustainable Machine Learning Workflows

Let’s face it: deploying, updating, and generally managing/maintaining machine learning models can be a nightmare! Organizations are struggling to find sustainable and repeatable workflows for ML development.