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Kafka streams data between two applications and is often used to perform real time analytics. It passes data between producers and consumers using message based topics inside a Kafka cluster . It's durability and ability to scale make it a popular choice for use in website activity tracking,...
INTRODUCTION As you begin to validate the performance capabilities of your Kafka cluster, it’s a good idea to have a firm understanding of your scaling, throughput, and performance requirement. The workload generator application allows you to generate like workloads that represents your...
Published on December 20, 2019 In this article, I will describe how to use the new KafkaRead node and a Kafka policy type which has been added in IBM App Connect Enterprise v11 fixpack 7 for integration with a Kafka server. Overview of Apache Kafka Apache Kafka is a...
Ajay Ponnappan & Gobi Sankaranarayanan Published on August 27, 2019 / Updated on August 28, 2019 This article aims at providing a tool (a standalone Java Program) to simplify setting up Kerberos authentication with Kafka nodes. The tool enables you to create a setup...
Published on February 24, 2019 IBM Event Streams Kafka Hub and MQ Hosted integration with the Kafka MQ Connector In this new article we’ll explore the integration of IBM MQ and IBM Event Streams leveraging the Kafka MQ Source Connector to take MQ Messages from MQ...
Data Replication is the critical technology which allows businesses to make real-time decisions based on up-to-the-second information and to provide the underpinnings of a continuous data availability solution to assure “always-on” customer facing applications. For businesses who wish to...
Master data management continues to be a hot category, and its no wonder why. Organizations of all sizes and maturity are on a journey to be more data and customer-centric in everything they do. To be effective at this requires trusted information about your customers, patients and citizens...