// TAG: KAFKA

Learn how to simulate real-time supply chain events using Kafka and a Python producer application.

Learn how to simulate real-time supply chain events using Kafka and a Python producer application.

Learn how to ingest raw supply chain events into a data lake using DLT and Kafka, forming the foundation of your analytics pipeline.

Learn how to ingest raw supply chain events into a Databricks Delta Live Tables Bronze layer using Apache Kafka.

Explore Event-Driven Architectures (EDA) for AI systems. Learn how to design scalable, real-time, and resilient AI applications using events, message …

Deep dive into integration testing message brokers like Kafka and external web services using Testcontainers in Java, Python, and JavaScript. Learn to …

Learn how to build a real-time logistics cost monitoring pipeline using Apache Spark Structured Streaming on Databricks.

Learn how to build a real-time logistics cost monitoring pipeline using Apache Spark Structured Streaming on Databricks.

Build a Spring Boot microservice and master integration testing with Testcontainers, spinning up real databases (PostgreSQL) and message brokers …

Learn how to deploy, monitor, and optimize a real-time supply chain analytics platform on Databricks.

Learn how to deploy, monitor, and optimize a real-time supply chain analytics platform on Databricks.

Build and test a simple data pipeline in Python using Testcontainers to spin up isolated Kafka and PostgreSQL instances. Learn end-to-end integration …

Dive into Testcontainers' Core API, exploring Generic Containers for any Docker image and specialized Modules for popular services like PostgreSQL and …

Embark on a comprehensive journey to master Testcontainers from the ground up, with practical steps and engaging challenges to elevate your …