EventsMarch 30, 2021

Apache Kafka London Meetup - Introducing KCQL

In this article:

How to simplify your ETL process using Kafka Connect for (E) and (L).
Introducing KCQL - the Kafka Connect Query Language for fast-data pipelines.
Using KCQL to set up Kafka Connectors for popular in-memory and analytical systems (live demos) such as HazelCast, Redis and InfluxDB.
Use fast-data-dev docker for your Kafka development environment.
Enhancing your existing Cloudera (Hadoop) clusters with fast-data capabilities.

Demos

```
Code
```
https://github.com/landoop/
```
Connectors
```
https://github.com/landoop/stream-reactor
```
Cloudera CSD documentation
```
http://docs.landoop.com

Keep Learning

ReleasesOctober 28, 2025

Lenses 6.1 - Kafka connectivity to your Copilot & self-service data replication

Lenses 6.1: Self-service data replication, IDE-style Kafka Studio, and AI-assistance via MCP. Streamline Kafka app development, governance, and data sharing/migrations with enterprise-grade tools for a delightful developer experience.

Stefan Bocutiu

FeaturesNovember 5, 2025

Topic & data multi-Kafka governance with your AI-assistant

Lenses MCP Server brings 100x productivity gains on governance with Apache Kafka

Andrew Stevenson

AnnouncementsNovember 6, 2025

Lenses MCP for Kafka

What took weeks can take minutes with AI-Assistants and Agents connected to the new Lenses MCP Server

Tun Shwe

EventsMarch 30, 2021

Apache Kafka London Meetup - Introducing KCQL

Written byAntonios Chalkiopoulos

In this article:

How to simplify your ETL process using Kafka Connect for (E) and (L).
Introducing KCQL - the Kafka Connect Query Language for fast-data pipelines.
Using KCQL to set up Kafka Connectors for popular in-memory and analytical systems (live demos) such as HazelCast, Redis and InfluxDB.
Use fast-data-dev docker for your Kafka development environment.
Enhancing your existing Cloudera (Hadoop) clusters with fast-data capabilities.