A discussion of how unifying batch and real-time processing in data warehouses can promote integrated computing.
This article looks at the development of Alibaba Cloud Log Service as a data pipeline over the past five years.
This post describes the status quo of Flink's application in the monitoring system, focusing on its impacts on eBay's monitoring system, Sherlock.IO.
This article includes the code that I demonstrated in my speech, entitled Flink SQL 1.9.0 Technologies and Best Practices, which sparked a lot of interest from the audience.
This article describes Flink connectors focusing on the basic working mechanism and usage of Kafka connectors commonly used in production.
In this article, part two of two parts, an Alibaba engineer shares everything he knows about Kafka.
In this article, part one of two parts, an Alibaba engineer shares everything he knows about Kafka.
The focus of this post is on Kafka and Apache RocketMQ™, since they both are high-performance applications.
In this article, we will show you how to use Alibaba Cloud E-MapReduce (EMR) to build a Kafka cluster automatically.
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.
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.