Kafka in 100 Seconds

Apache Kafka, created in 2011 at LinkedIn, is a system optimized for writing real-time data. It uses a producer API to create records stored in an immutable log called a topic. Topics are distributed across a cluster of brokers, making Kafka fault-tolerant and scalable. Consumers can subscribe to topics, reading messages in real-time. Kafka's Streams API allows for data transformation and aggregation. It is used by companies like Lyft, Spotify, and Netflix for various data processing tasks. Setting up Kafka involves tools like Zookeeper, and it supports advanced streaming capabilities.

What is the primary purpose of Apache Kafka?

• To manage databases

• To optimize web page loading

• To create mobile applications

• To handle real-time data streams

Which of the following is NOT a feature of Kafka's architecture?

• Scalability

• Cluster-based distribution

• Fault tolerance

• In-memory data storage

Which company uses Kafka for processing geolocation data?

• Cloudflare

• Lyft

• Spotify

• Netflix

What tool is used to manage a Kafka cluster?

• Terraform

• Kubernetes

• Zookeeper

• Docker

What can the Kafka Streams API perform?

• Web development

• Stateless and stateful transformations

• Image processing

• Database management