Introduction to Data Engineering Concepts | Streaming Data Fundamentals
Explains streaming data fundamentals, how streaming systems work, their use cases, and challenges compared to batch processing.
Explains streaming data fundamentals, how streaming systems work, their use cases, and challenges compared to batch processing.
Explores a taxonomy of data change events in CDC, detailing Full, Delta, and Id-only events and their use cases.
An overview of Apache Kafka, explaining its core concepts as a distributed event streaming platform for real-time data pipelines.
An overview of Kafka Streams, a new library for building stream processing applications using Apache Kafka, with key concepts and a code example.
Technical guide on building a real-time Twitter sentiment analysis system using Apache Kafka and Storm.
A technical guide on building a real-time Twitter sentiment and hashtag analysis system using Kafka, Storm, and Cassandra.