If your business generates large volumes of data, you can use Kafka to unlock interesting real-time business insights from your data with very little overhead. Companies that adopt Kafka often end up creating complex data pipelines to connect multiple streams of data together. That is the power ...
In a "transaction log" based CDC system, there is no persistent storage of data stream. Kafka can be used to capture and push changes to a target database. The key difference between transaction log CDC and trigger-based CDC is that every change will go into a transaction log generated by...
Kafka is a distributed platform; it runs as a fault-tolerant, highly available cluster that can span multiple servers and even multipledata centers. Kafka topics are partitioned and replicated in such a way that they can scale to serve high volumes of simultaneous consumers without impacting perfo...
Yes, data sinks can be used with real-time data streaming systems such as Apache Kafka. In this context, data sinks are used to store data as it comes in from streaming sources, allowing it to be processed and analyzed in real-time. ...
BERT is the state-of-the-art framework for Natural Language Processing. Read this blog post to understand how this keyphrase has changed the landscape
Kafka Architecture and Main Elements Let's dive into the architecture of Apache Kafka. We'll explore its key components and understand how they work together. At its core, Kafka is designed to be robust, scalable, and fault-tolerant. It's built on a distributed architecture, meaning its comp...
This is a guide to Kafka Manager. Here we discuss the Introduction, What is Kafka manager, How to install Kafka manager, and examples with code implementation respectively. You may also have a look at the following articles to learn more –...
and can effortlessly run big data components such as Storm, Hadoop, Spark, HBase, and Kafka. MRS supports a full range of open source APIs, and leveraging Huawei Cloud's deep expertise in compute, storage, and big data, it offers customers a full-stack big data platform featuring high ...
In this ELK stack tutorial, we answer that and more. From what is the ELK stack to how to install and configure it, how to use it for analysis, use cases, and best practices. Keep on reading and find out how the ELK works, why do you need it, and how you can leverage it to ...
Why is Kafka so popular? Kafka has operational simplicity. Kafka is to set up and use, and it is easy to reason how Kafka works. However, the main reason Kafka is very popular is its excellent performance. It has other characteristics as well, but so do other messaging systems. Kafka ha...