I skipped to Node - Day 15: Node.js opened the backend world to JavaScript developers, and this Node quick start guide will help you use your mad JS skills to build powerful Kafka clients https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
Day 11: Kafka is replacing ZooKeeper with KRaft, which will make Kafka lighter, faster, and much more scalable. It's still in preview, but you can take it for a spin https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
Wow!Day 10: ksqlDB is a specialized kind of database optimized for stream processing applications, uses SQL, & exposes a REST interface to applications, which can submit new stream processing jobs to run & query the results https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
Day 9: Kafka Streams is a core part of the Kafka ecosystem and provides a Java library for doing stateful stream processing. (Java not your thing? Check out ksqlDB! https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
Day 8: Kafka Connect is a no-code integration API provided as part of Kafka. Stream data out of other systems like databases and MQs into Kafka, and from Kafka down to other systems like NoSQL stores and more! https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
Day 4: Kafka topics are made up of partitions, which can be spread across multiple brokers in a cluster. https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
Made it to day 2: We live in a world of events—payments, website clicks, temperature readings, and more. Learn how to process those events in an event streaming platform https://t.co/Hl14HparjS #100DaysOfCode#apachekafka
So I'm doing the 100 day code challenge with Kafka, anyone else? Study group📚 #gogreendalehumanbeings! Bueller!
Day 1: The simplest way to get started with Apache Kafka: Write your first data record and read it in real time https://t.co/Hl14HparjS #100DaysOfCode#apachekafka