Robin’s upcoming schedule

Robin Moffatt is presenting at these upcoming events.

GOTO Copenhagen

🤖Building a Telegram bot with Apache Kafka and ksqlDB

Imagine you’ve got a stream of data; it’s not “big data,” but it’s certainly a lot. Within the data, you’ve got some bits you’re interested in, and of those bits, you’d like to be able to query information about them at any point. Sounds fun, right? Since I mentioned “querying,” I’d hazard a guess that you’ve got in mind an additional datastore of some sort, whether relational or NoSQL. But what if I told you…that you didn’t need any datastore other than Kafka itself? What if you could ingest, filter, enrich, aggregate, and query data with just Kafka? With ksqlDB we can do just this, and I want to show you exactly how. In this hands-on talk we’ll walk through an example of building a Telegram bot in which ksqlDB provides the key/value lookups driven by a materialised view on the stream of events in Kafka. We’ll take a look at what ksqlDB is and its capabilities for processing data and driving applications, as well as integrating with other systems.

09 November 2020

GOTO Copenhagen

Kafka as a Platform: the Ecosystem from the Ground Up

Kafka has become a key data infrastructure technology, and we all have at least a vague sense that it is a messaging system, but what else is it? How can an overgrown message bus be getting this much buzz? Well, because Kafka is merely the center of a rich streaming data platform that invites detailed exploration.

In this talk, we’ll look at the entire streaming platform provided by Apache Kafka and the Confluent community components. Starting with a lonely key-value pair, we’ll build up topics, partitioning, replication, and low-level Producer and Consumer APIs. We’ll group consumers into elastically scalable, fault-tolerant application clusters, then layer on more sophisticated stream processing APIs like Kafka Streams and ksqlDB. We’ll help teams collaborate around data formats with schema management. We’ll integrate with legacy systems without writing custom code. By the time we’re done, the open-source project we thought was Big Data’s answer to message queues will have become an enterprise-grade streaming platform, all in 45 minutes.

09 November 2020

Big Data Conference Europe

Kafka as a Platform: the Ecosystem from the Ground Up

Kafka has become a key data infrastructure technology, and we all have at least a vague sense that it is a messaging system, but what else is it? How can an overgrown message bus be getting this much buzz? Well, because Kafka is merely the center of a rich streaming data platform that invites detailed exploration.

In this talk, we’ll look at the entire streaming platform provided by Apache Kafka and the Confluent community components. Starting with a lonely key-value pair, we’ll build up topics, partitioning, replication, and low-level Producer and Consumer APIs. We’ll group consumers into elastically scalable, fault-tolerant application clusters, then layer on more sophisticated stream processing APIs like Kafka Streams and ksqlDB. We’ll help teams collaborate around data formats with schema management. We’ll integrate with legacy systems without writing custom code. By the time we’re done, the open-source project we thought was Big Data’s answer to message queues will have become an enterprise-grade streaming platform, all in 45 minutes.

24 November 2020