Let me start off by saying how glad I am to be done with this post series. I knew when I finished the project, I should have just written all four posts, and then timed …
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Behind the Scenes Pt. 4: The K8s Bugaloo.
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Behind the Scenes of “RT’s HoRT IoT-A, An AIoT-P MVP Demo”: Part 2- The Streaming Engine
Welcome back from Part 1. On our last episode we did an introduction, spoke briefly on the overall structure of the program, discussed our demo data source, and did some foreshadowing of this week. This …
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Behind the Scenes of “Rawkintrevo’s House of Real Time IoT Analytics, An AIoT platform MVP Demo”
Woo, that’s a title- amirigh!? It’s got everything- buzzwords, a corresponding YouTube video, a Twitter handle conjugated as a proper noun. Introduction Just go watch the video– I’m not trying to push traffic to YouTube, …
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Borg System Architecture
or “how I accidentally enslaved humanity to the Machine Overlords”. The Borg are a fictional group from the Sci-Fi classic, Star Trek, who among other things have a collective consciousness. This creates a number of …
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Using JNIs (like OpenCV) in Flink
For a bigger project which I hope to blog about soon, I needed to get the OpenCV Java Native Library (JNI) running in a Flink stream. It was a pain in the ass, so I’m …
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Big Data for n00bs: My first streaming Flink program (twitter)
Fishing for tweet with Flink
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Big Data for n00bs: Gelly on Apache Flink
Big Data for n00bs: is a series I am working on of absolute simplest working examples for people just getting started in Big Data. In this post we Explore 'Gelly' the graph processing library of Apache Flink.
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Deep Magic Volume 1: Visualizing Apache Mahout in R via Apache Zeppelin (incubating)
I was at Apache Big Data last week and got to talking to some of the good folks at the Apache Mahout project. For those who aren’t familiar, Apache Mahout is a rich Machine Learning …
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How to get paid a gagillion dollars building crazy big data stuff on nights and weekends.
[407] - Excerpt not found. C'mon, it's a gagillion dollars and you've clicked through to more obvious scamster websites before. Also I don't have any obnoxious ads, sneaky trackers or beacons, etc. I don't even care if you read this thing. I'm trying to help you out.
