Manoj Jha

 Apache Kafka is a distributed streaming platform widely used for building real-time data pipelines and streaming applications. In this blog post, we will guide you through the process of setting up Kafka on a local Windows machine and implementing a Natural Language Processing (NLP) machine-learning algorithm for sentiment analysis on the IMDb dataset. We will use Kafka producers to generate sentiment analysis results for each movie review and Kafka consumers to consume and process these results. Setting Up Kafka on Windows: Step 1: Download and Install Kafka Visit the official Apache Kafka website ( https://kafka.apache.org/downloads ) and download the latest stable version. Extract the contents to a location of your choice. To learn more in detail on how to install Kafka on Windows and run please visit  How to install Kafka and Zookeeper on Windows . Step 3: Start Zookeeper and Kafka Server Open a command prompt in the Kafka directory and start Zookeeper: .\bin\window...

  Apache Kafka and Zookeeper are two distributed systems technologies that are often used together. Kafka is a distributed streaming platform that can be used to publish, subscribe to, store, and process streams of records in real-time. Zookeeper is a distributed coordination service that can be used to provide reliable distributed services such as leader election, configuration management, and synchronization. To install Kafka and Zookeeper on Windows, you will need to: 1. Install Java. Kafka and Zookeeper require Java version 8 or higher. You can download the latest version of Java from the Oracle website. 2. Download Kafka. You can download the latest versions of Kafka from the Apache Kafka website. download link 3. Extract the Kafka archives. Once you have downloaded the Kafka archives, extract them to a d irectory of your choice. 4. Set env ironment variables. You need to set the following environment variables: KAFKA_HOME=<path-to-kafka-directory> ...