In this article, we will look at how you can use BottledWater-pg and Confluent to create a real-time data exchange platform.
In this article, we look at how PostgreSQL can be used for Stream Processing in IoT applications for real-time processing of trillions of data records per day.
This blog provides an in-depth overview of the Kafka messaging system along with a walkthrough of its various models and techniques.
This article introduces the SMACK (Spark, Mesos, Akka, Cassandra, and Kafka) stack and illustrates how you can use it to build scalable data processin.
The focus of this post is on Kafka and RocketMQ, since they both are high-performance applications. Thus, we will target these two products to see which one of them is better in the above scenarios.
In this tutorial, we will learn how to configure an Apache Kafka cluster for stream-processing on an Alibaba Cloud ECS Ubuntu 16.04 instance.