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Kai Waehner
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Latest Activity

Justin Newton liked Kai Waehner's blog post Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook
Jan 24
Kai Waehner liked Kai Waehner's blog post Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook
Jan 24
Kai Waehner's blog post was featured

Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook?There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need to use for data ingestion, preprocessing, model deployment and monitoring at scale. It requires low latency, high throughput, zero data…See More
Jan 24
ajit jaokar commented on Kai Waehner's blog post Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
"thanks. do you have a Cloud equivalent? "
Sep 2, 2018
ajit jaokar liked Kai Waehner's blog post Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
Sep 2, 2018
Enrico conte liked Kai Waehner's blog post Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT
Aug 5, 2018
Kai Waehner posted a blog post

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.…See More
Aug 2, 2018
Kai Waehner's blog post was featured

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.…See More
Aug 2, 2018
Enrico conte liked Kai Waehner's blog post Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka
Jul 17, 2018
Kai Waehner posted a blog post

Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka

Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …See More
Jul 10, 2018
Kai Waehner's blog post was featured

Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka

Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …See More
Jul 10, 2018
Kai Waehner posted a blog post

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 also recorded. I will share the video as…See More
May 9, 2018
Kai Waehner's blog post was featured

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 also recorded. I will share the video as…See More
May 9, 2018
Duane Baker liked Kai Waehner's blog post Open Source Deep Learning Frameworks and Visual Analytics
Nov 25, 2017

Profile Information

Short Bio
Kai Wähner works as Technology Evangelist at TIBCO. Kai’s main area of expertise lies within the fields of Big Data, Advanced Analytics, Machine Learning, Integration, SOA, Microservices, BPM, Cloud, Java EE and Enterprise Architecture Management. He is regular speaker at international IT conferences such as JavaOne, ApacheCon or OOP, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog).
Contact: [email protected] or Twitter: @KaiWaehner. Find more details and references (presentations, articles, blog posts) on his website: www.kai-waehner.de
My Web Site Or LinkedIn Profile
http://www.kai-waehner.de
Professional Status
Technical
Your Job Title:
Technology Evangelist
Interests:
Networking

Kai Waehner's Blog

Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook

Posted on January 22, 2019 at 10:00am 0 Comments

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook?

There is an impedance mismatch between model development using Python and its Machine Learning tool stack and a scalable, reliable data platform. The former is what you need for quick and easy prototyping to build analytic models. The latter is what you need to use for data ingestion, preprocessing, model deployment and monitoring at scale. It…

Continue

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

Posted on August 1, 2018 at 11:00pm 1 Comment

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.…

Continue

Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka

Posted on July 8, 2018 at 4:26pm 0 Comments

Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …

Continue

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

Posted on May 8, 2018 at 9:30pm 0 Comments

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…

Continue

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