This is IBM Event Automation : a new product we released last month to help our clients create event driven solutions.
I’ve written a 200-word summary of what IBM Event Automation is, but in this post I wanted to dive a little bit deeper and show what it can do.
Students can now create Machine Learning for Kids projects using EduBlocks – letting them create machine learning Python projects in the browser by dragging and dropping blocks on a canvas.
This is all thanks to a fantastic new contribution from Joshua Lowe.
Here’s a quick run-through to show what this makes possible.
A summary of IBM Event Automation in under 200 words.
Last week was the first release of IBM Event Automation. I’ve been asked what it’s all about, so I thought it’d be helpful to have a brief summary to point people at.
IBM Event Automation is a collection of three components, designed to help companies be productive in creating event-driven solutions.
This is a talk I gave at Kafka Summit last month. It was an introduction to the Java APIs for Kafka Connect and Kafka Streams, using data from Xbox to bring the examples to life.
Confluent require personal details to watch recordings from Kafka Summit – sorry
One of the conference presentations I gave last year was a talk at Heapcon, sharing some stories of AI/ML lessons I’ve run in schools. The focus of the talk was how I’ve seen children understand and react to machine learning technologies.
I’ve since expanded the ideas in this talk into a mini-book at MachineLearningForKids.co.uk/stories but here is a recording of where some of these stories started.
It’s easy for developers who aren’t immersed in all-things-Kafka to assume that “Apache Kafka” just means an event backbone: something that hosts topics (and perhaps the client libraries to produce and consume messages using those topics). But Kafka is more than that. It is an ecosystem of tools that enables a complete event-streaming application.
That was the premise of this talk, recorded at Devoxx UK, which I gave to a room of Java developers. I introduced them to two other bits of Kafka: Kafka Connect (for getting data in and out of Kafka topics from external systems) and Kafka Streams (for developing stream processing applications).
Because they were Java developers, I thought the best way to give them a flavour of these tools was to show them the APIs, and walk through an example solution made using the APIs.
The example solution used Kafka tools to process data from Xbox – mostly because I’m a gamer and it made for a fun, if silly, demo.
A recording of a demo walkthrough I did about using the Kafka Connect MQ connectors to flow messages between IBM MQ and Apache Kafka.
A few weeks ago, I presented a session at TechCon about IBM MQ and Apache Kafka with David Ware. I spent most of my time running through how to use Kafka Connect with IBM MQ, with a few demos showing different ways to setup and run the kafka-connect-mq-source Connector.
My demos start at around 20 minutes in, but you should listen to David give the context first!
In this post, I want to share an example of Scratch projects that use live weather data.
At the Raspberry Pi Clubs Conference last week, I talked about the idea of Scratch projects that use live data: projects that do something different every time you run them, based on when or where they are run.
I love this idea. It’s something I’ve talked about many times – like when I tried bringing NASA data into Scratch, or when I built Scratch extensions for different web APIs, such as Wikipedia, Twitter, and Spotify.
I think doing this brings a new perspective to Scratch. Live data can bring projects to life.
So I thought I’d share another example: this time, weather data from Open Meteo.