Ken Cottrell

← GridGain Blog

Ken Cottrell
Position:
Solution Architect at GridGain Systems
Bio:

I’ve been working with distributed computing tools and platforms for 25 years, in both presales and post sales technical roles. I’ve provided technical advisory and consulting services to customers in areas including object-oriented data modeling, data-driven business process integration, and advanced analytics tools and platforms.

These last few years I’ve been advising architects and developers on the use of big data engineering and Machine Learning tools and processes. My role at Gridgain is as a subject matter expert in the data engineering aspects of distributed Machine Learning.

Bio:

I’ve been working with distributed computing tools and platforms for 25 years, in both presales and post sales technical roles. I’ve provided technical advisory and consulting services to customers in areas including object-oriented data modeling, data-driven business process integration, and advanced analytics tools and platforms.

These last few years I’ve been advising architects and developers on the use of big data engineering and Machine Learning tools and processes. My role at Gridgain is as a subject matter expert in the data engineering aspects of distributed Machine Learning.

Taking Your Apache Ignite Trained ML Model into Production Deployment

Ken Cottrell

Taking Your Apache Ignite Trained ML Model into Production Deployment

Ken Cottrell
Taking Your Apache Ignite Trained ML Model into Production Deployment
Note: This is the third and final post in the blog series: Continuous Machine Learning at Scale With Apache Ignite. For post 1 click here and for post 2 click here. In my first post, I introduced Apache® Ignite™ machine learning and explained how it delivers large-scale, distributed, machine-learning (ML) workloads. In my second post, I discussed the Apache Ignite model-building stages. The…
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Distributed ML Preprocessing and Training at Scale

Ken Cottrell

Distributed ML Preprocessing and Training at Scale

Ken Cottrell
Distributed ML Preprocessing and Training at Scale
Note: This is post 2 in the blog series: Continuous Machine Learning at Scale with Apache Ignite. For post 1 click here and for post 3 click here. In my first post, I introduced the topic “continuous machine learning at scale with Apache Ignite,” which is how we members of the Apache® Ignite™ community describe machine learning (ML) architectures that offer the following advantages: Support…
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Continuous Machine Learning at Scale with Apache Ignite

Ken Cottrell

Continuous Machine Learning at Scale with Apache Ignite

Ken Cottrell
Continuous Machine Learning at Scale with Apache Ignite
Note: This is post 1 in the blog series: Continuous Machine Learning at Scale with Apache Ignite. For post 2 click here and for post 3 click here. This is my first blog post in a series that discusses continuous machine learning at scale with the Apache® Ignite™ machine learning (ML) library. In this article, I’ll introduce the notion of continuous machine learning at scale. Then, I’ll discuss…
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