Disconnected Data Sources? Meet Real-time Insights
Ensign is a cloud native, cloud agnostic, real-time data streaming platform that seamlessly integrates your disconnected data.
- Faster analytics that don’t wait for data to accumulate
- Build rapid prototypes in days rather than months
- No cluster management or YAML editing required
- Leverage the skills and infrastructure you already have
Get started in minutes with an API key and developer-friendly SDKs. Made to fit any tech stack.
Data Science 2.0
Open-source tools to rapidly prototype new data pipelines, integrate realtime analytics, and get your data science predicting beyond the batch.
Ensign for Enterprise
Cooperation-as-a-service. Break down data silos and build low-maintenance topologies tailored to your business. Cloud, on prem, edge or hybrid.
On the Cloud
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How to Dockerize Python Data Science Processes
Docker is great, but most tutorials are geared toward devOps users, not data scientists. If you’re building long-running processes for NLP, ML, or generative AI, here’s a blueprint for Python Docker containers for data science!
Benjamin Bengfort
My First Year as a Junior Developer at Rotational Labs
🎉 I just celebrated my first year as a junior developer. In this post, I’ll share some of the things I’ve learned and techniques I’ve grown to value over the last twelve months.
Danielle Maxwell
Intro to Polars: A Pandas Alternative for Efficiently Working with Large Datasets
Dataframes are a powerful data structure for data processing, analytics, and ML. For many years, Pandas has been my go-to. But it can really slow you down when you’re working with big or high-dimensional data. Enter Polars!
Prema Roman