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All Blog Posts Tagged 'Amazon' (5)

Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…

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Added by Kai Waehner on August 1, 2018 at 11:00pm — 1 Comment

Deep Learning Infrastructure for Extreme Scale with 
the Apache Kafka Open Source Ecosystem

I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.

Long version of the title:

"Deep Learning at Extreme Scale (in the Cloud) 
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."

As always, I want to share the slide deck. The talk was…

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Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments

Using Amazon Redshift's Interleaved Sort Keys for 35x Faster Queries

Introduction

Previously, we discussed the role of Amazon Redshift's sort keys and compared how both compound and interleaved keys work in theory. Throughout that post we used some dummy data and a set of Postgres queries in order to explore the…

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Added by sasha blumenfeld on August 28, 2015 at 7:20am — No Comments

Book Trailer: Too Big to Ignore

trailer

Here's the book in under five minutes. Props to my spectacular video guy, Joe Buquicchio of Chrome Video Productions.

 

 

 …

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Added by Phil Simon on February 21, 2013 at 2:30pm — No Comments

Sample: Too Big to Ignore

Too Big to Ignore

My publisher (John Wiley & Sons) is allowing me to make the 28-page Introduction of Too Big to Ignore available for free download. The Introduction provides the structure for the rest of the book and details a few interesting ways in which organizations are utilizing Big Data.…

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Added by Phil Simon on January 2, 2013 at 2:30pm — No Comments

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