Apache Kafka
Summary
Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant handling of real-time data feeds. Originally developed by LinkedIn and later open-sourced, Kafka enables organizations to collect, store, and process large volumes of data across distributed systems. It's particularly well-suited for building real-time streaming data pipelines and applications that adapt to data streams.
Exploration
This section captures brainstorming sessions, potential applications, and questions that emerge during learning. It serves as a space for documenting creative thoughts, implementation possibilities, and areas that need further exploration.
Projects
This section documents hands-on experiences and practical implementations. It includes experiments, proof-of-concepts, and real-world applications that help reinforce understanding through actual usage.
Concepts
This section breaks down fundamental concepts into manageable components. It focuses on core principles, terminology, and essential knowledge areas that form the foundation of understanding the subject matter.
Notes
This section contains detailed notes from various learning sources such as meetings, workshops, tutorials, and personal observations. It serves as a repository for insights, challenges encountered, and key takeaways from practical experiences.
References
This section maintains a curated list of learning resources including documentation, articles, videos, and other materials that contribute to understanding the topic. It serves as a bibliography of valuable information sources for future reference.
Other
A catch all so I can appropriately categorize files I deemed related but have not appropriately tagged.