Kafka sample data We will cover the setup process, configuration Jul 23, 2025 · Apache Kafka is designed as a key component with real-time data flows and event-driven scheduling to accelerate data flow to applications. Learn to create a Kafka Cluster in Confluent Cloud, create a sample topic, set up the Kafka Connect Datagen Source Connector, and generate data to your topic in this hands-on exercise. Jan 31, 2024 · One essential component of Kafka is the consumer, which reads data from Kafka topics. NET – Producer and Consumer with examples Today in this series of Kafka . Spring Boot makes it easy to create stand-alone, production-grade Spring-based Applications that you can " just run ". But Kafka shifts the focus from things Sep 12, 2023 · Learn to integrate Kafka with Apache Avro and Schema Registry to manage the changes in Schema over time, and a demo to test this integration. Oct 20, 2020 · Use cases, architectures, examples for Apache Kafka: Fraud detection, mainframe integration, cybersecurity, edge computing, and more. Prerequisite: Make sure you have installed Apache Kafka in your local machine. The sample file contains dummy JSON data and is used to generate the schema. Jul 23, 2025 · Spring Boot is one of the most popular and most used frameworks of Java Programming Language. Apache Kafka, a distributed streaming platform A complete Docker-based Kafka development environment with preloaded sample data. It subscribes to one or more topics in the Kafka cluster and feeds on tokens or messages from the Kafka May 11, 2024 · Learn how to read data from the beginning of a Kafka topic using the Kafka Consumer API. If you want to build a local copy of the Docker image with kafka-connect-datagen, this project provides a Dockerfile that you can reference. If you are familiar with Feb 6, 2025 · Kafka is an open-source stream processing platform developed by the Apache Software Foundation. Jan 19, 2019 · Apache Kafka is a scalable, high performance, low latency platform that allows reading and writing streams of data like a messaging system. Kafka producer client consists of the following APIs. In this guide we will start from scratch on setting up your own project to write a stream processing application using Kafka Streams. When you think about data, you probably think of tables representing objects—like inventory items or user accounts. When you use a Kafka source or target in a mapping, specify the format in which Kafka Connector reads or writes data. Although written in Scala, Spark offers Java APIs to work with. In this article, we will walk you through the steps to create a simple Kafka Streams application in Java. Apache Kafka More than 80% of all Fortune 100 companies trust, and use Kafka. By the end of this tutorial, you will have a comprehensive understanding of how to build a real-time data Apr 9, 2025 · Learn how to build real-time data processing applications with Kafka Streams. Now the producers in Kafka will automatically know to which broker and partition to write based on your message and in case there is a Kafka broker failure in your cluster the producers will automatically recover from it which makes Kafka resilient and which Jan 31, 2024 · Introduction Apache Kafka is a popular distributed streaming platform designed to handle high volume of data. Apache Kafka Tutorial – Learn about Apache Kafka Consumer with Example Java Application working as a Kafka consumer. In this tutorial, we’ll cover Spring support for Kafka and its abstraction level over native Kafka Java client APIs. This guide covers key concepts, setup, and best practices for managing data streams in real-time processing pipelines. But in a complex program, we need to consume JSON objects from Kafka topics. Kafka Components Kafka Cluster A Kafka cluster is a Jun 26, 2024 · Learn to configure multiple consumers listening to different Kafka topics in a Spring boot application using Java-based bean configurations. Usually, when working with Kafka, you have data and generat Jul 26, 2024 · These real-world examples illustrate how Apache Kafka is utilized across diverse industries to power critical data processing and streaming applications. Nov 19, 2024 · A comprehensive guide to Building Real-Time Data Pipelines with Python and Apache Kafka. The real question is: where to store the schema? Nov 29, 2024 · Learn how to implement real-time data pipelines using AWS Kinesis and Apache Kafka for efficient data processing and analytics Structured Streaming + Kafka Integration Guide (Kafka broker version 0. May 27, 2020 · The formats supported are text, CSV, parquet, JSON Kafka Source: Streaming library provides Kafka consumer to read data from Kafka broker. This guide covers core concepts, Java & Python implementations, and step-by-step examples for building scalable streaming applications. We will cover from basics to some advanced concepts with practical code examples using Kafka’s Consumer API. Each … I am doing performance testing of Kafka and need to test different large schemas. Jul 3, 2023 · Apache Kafka is a popular, stream-processing platform that can handle real-time continuous data with ensuring high throughput and low… Apache Kafka: A Distributed Streaming Platform. Aug 20, 2023 · Apache Kafka has become a popular choice for building real-time data pipelines and streaming applications. Use Python to process time series data and send it to Apache Kafka. Jul 23, 2025 · Kafka Producers are going to write data to topics and topics are made of partitions. Create a sample Kafka Connect source connector and stream generated data into Kafka for real-time consumption. Use Kafka a publish-subscribe messaging system by creating topics using consumers and producers to ingest data into the application for Spark to process the data and create Kafka topics for application and system logs. Feb 19, 2025 · Introduction In this tutorial, we will dive deep into Apache Kafka, a popular distributed streaming platform used for building real-time data pipelines. Apache Kafka Demo using Java with multiple data Serialization (Protobuf, JSON, Avro etc) May 6, 2025 · Step 2 - Create a Data Set (Type=Kafka) and link to the Kafka instance created above. We can start with Kafka in Java fairly easily. com May 25, 2018 · A developer provides an in-depth tutorial on how to use both producers and consumers in the open source data framework, Kafka, while writing code in Java. NET-Producer and Consumer examples. However, if you have already started Kafka and ZooKeeper, feel free to skip the first two steps. Aug 10, 2022 · This post will show you how to create a Kafka producer and consumer in Java. Jul 23, 2025 · We will develop a Kafka producer application in Java that will fetch data from the Twitter API data source and publish it to a Kafka Topic for a consumer application to subscribe and consume messages. When you specify JSON format, provide a sample JSON file. 10 to read data from and write data to Kafka. Enhance your understanding of Kafka design patterns and best practices through hands-on experimentation. The Kafka dlt verified source loads data using the Confluent Kafka API to the destination of your choice. Sends sample tickets to Kafka, classifies and routes them with an AI workflow, and orchestrates everyth Feb 6, 2025 · Kafka is an open-source stream processing platform developed by the Apache Software Foundation. So the consumers are smart enough and they will know which broker to read from and which partitions to read from. A complete collection of demos and examples for Apache Kafka, Kafka Streams, Confluent, and other real-time data streaming technologies. Feb 5, 2023 · Apache Kafka provides a scalable and distributed architecture for real-time data processing, and Python provides a simple and easy-to-use programming language for developing Kafka consumers and Oct 23, 2024 · Learn how to integrate Kafka with PySpark to build real-time data pipelines. Discover best practices and key concepts for efficient data pipelines. I was wondering about what types of data we could have in Kafka topics. Feb 16, 2023 · Add your work experience to your Kafka resume, along with the skills you possess, such as Kafka administration, data migration, application, code, and unit testing. Jan 10, 2025 · Kafka : Basics and Simple implementation Challenges for Databases in Real-Time Data Input Write Performance: Struggles with high-throughput writes due to locking and contention. What is Kafka Apache Kafka is an open-source, distributed, event streaming platform capable of handling large volumes of real-time data. Kafka is an open-source distributed event streaming platform, organized in the form of a log with message publishers and subscribers. Note that the source Data Set is created in Part A above. This is sample kafka client program, consist of producer and cosumer which transfer data using json object To build sample kafka server install docker and visit https://hub. Contribute to cloudera/kafka-examples development by creating an account on GitHub. See full list on github. Apache Kafka is a powerful… Mar 4, 2025 · In the world of data-driven applications, efficient data serialization is critical for performance, scalability, and interoperability. A quick introduction to how Apache Kafka works and differs from other messaging systems using an example application. Define streaming-specific job properties, and supply your own script or optionally modify the generated script. Nov 25, 2024 · Explore a curated collection of GitHub repositories featuring Apache Kafka sample code, including producers, consumers, and Kafka Streams applications. This example will show you how to send data from Kafka to Synapse Real-time Analytics in Fabric. One of the fundamental operations in Kafka is creating topics and inserting sample data into them. Avro is a data serialization Jun 1, 2025 · Welcome to the Apache Kafka Tutorial Series, your complete learning guide to mastering Kafka as a Java developer. Nov 3, 2025 · It will start a Kafka node, a Zookeeper node, a Schema Registry, a Kafka Connect, fill with some sample data, start a consumer group and a kafka stream & start AKHQ. This quickstart is based on the official Azure Event Hubs for Kafka example, adapted to work with Microsoft Fabric. Sep 6, 2020 · Spark Structured Streaming - Read from and Write into Kafka Topics Jan 19, 2019 · Apache Kafka is a scalable, high performance, low latency platform that allows reading and writing streams of data like a messaging system. Apr 2, 2025 · Kafka for Data Ingestion a reliable event-based system that can handle large volumes of data with low latency and high scalability. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. We will cover the core concepts, technical background, implementation guide, code examples, best practices, testing, and debugging. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology. Learn how to use Apache Kafka to build a minimal real-time data streaming application. Apr 4, 2017 · Integrate Apache Kafka with Apache Spark's Structured Streaming for real-time data processing and analytics. com/r/wurstmeister/kafka May 16, 2025 · This article describes how you can use Apache Kafka as either a source or a sink when running Structured Streaming workloads on Azure Databricks. Includes configuration for brokers, schema registry, Kafka Connect, and sample connectors to kickstart local develo Jan 31, 2024 · Introduction Kafka Streams is a lightweight library designed for building real-time applications and microservices, where the input and output data are stored in Kafka clusters. So we shall be basically creating a Kafka Consumer client consuming the Kafka topic messages. Oct 14, 2025 · Apache Kafka is a distributed streaming platform that is widely used for building real - time data pipelines and streaming applications. Aug 2, 2018 · A little care needs to be taken to indicate fields as optional to ensure backward or forward compatibility. As I know in application level this is a key-value pairs and this could be the data of type which is supported by the languag Kafka targets in mappings Edit metadata for the data field in a Kafka topic Formatting options for Kafka topics Sample schema files Data compression Dec 11, 2023 · Apache Kafka messaging basics What are message queues and why are they needed? In IT, everything is related to processing information; however, the information we process needs to be stored … Jul 23, 2025 · Kafka Streams is used to create apps and microservices with input and output data stored in an Apache Kafka cluster. Jan 3, 2022 · Apache Kafka is a publish-subscribe messaging queue used for real-time streams of data. Linking For Scala/Java applications using SBT/Maven project definitions, link your application with the following artifact: Querying Streaming Data in Kafka using ksql Let's discuss about how data streaming ingestion looks like and how we can query those data using ksql. You'll use a large sample data set from an online-retailer and send the records in batches with Pandas and the kafka-python library. Spark Streaming is part of the Apache Spark platform that enables scalable, high throughput, fault tolerant processing of data streams. This software enables your system to handle a high volume of data without affecting servers’ storage capacity and performance. KafkaStreams is engineered by the creators of Apache Kafka. So some of the main features of Spring boot are listed below Feb 17, 2019 · 22 If you have JSON messages in the file, you can use following way to write in the kafka topic: bin/kafka-console-producer. Sink Connectors: Push data from Kafka into an external system. Step by step guide to realize a Kafka Consumer is provided for understanding. Create an ETL job for the streaming data source. Default Key and value serializers are StringSerializer. Developing a scalable and reliable Automation Framework for Kafka-based Microservices Projects can be challenging sometimes. Apache Kafka lets you send and receive messages between various Microservices. What Is a Listener Container in Spring for Apache Kafka C#. Apache Kafka: A Distributed Streaming Platform. Apache Avro is a popular data serialization framework that excels in these areas, especially when used with Apache Kafka. Apache Kafka, a distributed streaming platform Jul 26, 2024 · Real-World Examples of Apache Kafka Log Aggregation at Uber: Uber uses Kafka for log aggregation to collect and manage massive amounts of log data generated by its microservices architecture. We will use the . Usually, when working with Kafka, you have data and generat Nov 25, 2024 · Replaying Kafka messages: Practical guide with sample code Exploring Kafka's replay capabilities: From offsets to mirror topics and fine-tuning data reprocessing with Java. Kafka is a message queue and it can be used between microservices to communicate or passing the message. Nov 15, 2024 · Learn how to use Kafka Connect to streamline data ingestion from log files to Kafka topics, configure properties, and produce messages effectively. Setting Up Kafka Connect Before you can start using Kafka Connect, you need to have a Kafka cluster up and running. Learn to create a Kafka consumer in Java, read data from topics, and test using Kafka CLI tool in under 5 minutes. 2. Apr 24, 2025 · Understand the Kafka data pipeline architecture, learn how to build a high-performance streaming system, and see some real-world examples. At the moment, I am working on Avro-based load testing. Jun 25, 2025 · Explore data enrichment techniques using Kafka with practical stream processing examples. . What You'll Learn in This Apache Kafka® 101 Course Whether you're building data pipelines, connecting microservices, or moving data across systems, Apache Kafka® is foundational. Whether you’re just starting or looking to dive deeper into event-driven architectures, this series will help you go from beginner to confident Kafka developer step by step. Oct 14, 2025 · Storing sample data in Kafka can be a crucial part of developing and testing Kafka - based applications. In this article, Spring Boot Kafka Consumer Example we have discussed how we can consume messages from Kafka topics with Spring Boot. Kafka Streams is a client library for building applications and microservices that process and analyze data stored in Kafka. It combines the advantages of Kafka's server-side cluster technology with the ease of creating and deploying regular Java and Scala apps on the client side. This tutorial assumes you are starting fresh and have no existing Kafka or ZooKeeper data. Sep 6, 2020 · Spark Structured Streaming - Read from and Write into Kafka Topics Jan 30, 2024 · In this tutorial, we’re going to look at how to work with Kafka offsets. Spring Kafka brings the simple and typical Spring template programming model with a KafkaTemplate and Message-driven POJOs via @KafkaListener annotation. In this tutorial, we’ll walk through the steps to write a Kafka consumer in Python using the Confluent Kafka Python client. To get comfortable with Druid and Streaming from Apache Kafka, we'll walk you through loading a sample data set. docker. You could monitor … Jul 14, 2023 · Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to… Jan 8, 2024 · In this article, we’ll be looking at the KafkaStreams library. These sample configuration files, included with Kafka, use the default local cluster configuration you started earlier and create two connectors: the first is a source connector that reads lines from an input file and produces each to a Kafka topic and the second is a sink connector that reads messages from a Kafka topic and produces each as a Nov 25, 2024 · Replaying Kafka messages: Practical guide with sample code Exploring Kafka's replay capabilities: From offsets to mirror topics and fine-tuning data reprocessing with Java. net core tutorial articles, we will learn Kafka C#. Introducing KSQL, a streaming SQL engine for Apache Kafka. In fact, it's become the backbone of modern data systems. We'll run this Data Flow in Part 3 below. It will also show you the various configuration options, and how to tune them for a production setup. This is highly used in production. Hi, I'm Bobur Umurzokov Developer Advocate, Software Engineer, and Speaker passionate about building developer communities, open-source projects and creating engaging technical content. Also, learn about Topology and Processor and unit test the topology design. May 25, 2018 · A developer provides an in-depth tutorial on how to use both producers and consumers in the open source data framework, Kafka, while writing code in Java. And in case of broker failures, the consumers know how to recover and this is again a good property of Apache Kafka. Understanding Kafka Offsets Every Kafka message within a partition has an associated offset, which is a long value that indicates its position in the partition. An end-to-end demo using Kafka, LangGraph, and Airflow to automate support ticket processing. Jul 3, 2023 · Apache Kafka is a popular, stream-processing platform that can handle real-time continuous data with ensuring high throughput and low… An end-to-end demo using Kafka, LangGraph, and Airflow to automate support ticket processing. Mar 25, 2017 · Apache Kafka is a distributed and fault-tolerant stream processing system. For an Apache Kafka streaming source, create an AWS Glue connection to the Kafka source or the Amazon MSK cluster. It is a microservice-based framework and to make a production-ready application using Spring Boot takes very less time. Feb 1, 2024 · Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical Sep 5, 2024 · Learn how to implement real-time data streaming using Python and Apache Kafka. Jul 23, 2025 · Read more about Kafka here. json Kafka producers reads the messages line by line using default LineMessageReader. KafkaStreams enables us to consume from Kafka topics, analyze or transform data, and potentially, send it to Jul 23, 2025 · Kafka Consumer is used to reading data from a topic and remember a topic again is identified by its name. It is a distributed event store which is used for low latency and high volume of data. Nov 1, 2024 · Data Pipelines: Kafka is used as a backbone for transferring large amounts of data between different systems or services (ETL pipelines). Read on to learn more. 10. Mar 4, 2025 · In the world of data-driven applications, efficient data serialization is critical for performance, scalability, and interoperability. Setting up a Maven Project We are going to use a Kafka Streams Maven Jul 11, 2023 · Learn to create a Kafka Streams application using Spring Boot. Feb 1, 2024 · Source Connectors: Pull data from an external system into Kafka. Today in this article Sep 30, 2023 · In today’s fast-paced digital world, real-time data processing has become essential for businesses to stay competitive and make informed decisions. Gain insights into processing, transforming, and analyzing data streams. KSQL provides a simple and completely interactive SQL interface for processing data in Kafka. Kafka is an open-source application that provides a solution for storing, analyzing, and processing stream data. At the heart of Kafka’s design lies the concept of topics and partitions, which are pivotal in understanding how Kafka maintains, distributes, and scales data. Two popular tools used for real-time data processing are Kafka and Logstash. Jan 22, 2022 · In this post we'll learn how to write data to a Kafka topic from the command line. 0 or higher) Structured Streaming integration for Kafka 0. What is a Kafka Consumer ? A Consumer is an application that reads data from Kafka Topics. Apache Kafka is a powerful… Kafka Examples repository. NET Core C# Client application that consumes messages from an Apache Kafka cluster. This blog post will guide intermediate - to - advanced software engineers through the process of creating topics and inserting sample data using Kafka commands The easiest way to write mission-critical real-time applications and microservices Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. Mar 18, 2025 · Learn how to construct a robust real-time data processing system using Python and Apache Kafka. In this tutorial, we’ll explore the essentials of Kafka Aug 10, 2022 · This post will show you how to create a Kafka producer and consumer in Java. It is highly recommended to read the quickstart first on how to run a Streams application written in Kafka Streams if you have not done so. Kafka Streams is a client library for building mission-critical real-time applications and microservices, where the input and/or output data is stored in Kafka Let us create an application for publishing and consuming messages using a Java client. I am doing performance testing of Kafka and need to test different large schemas. js. Nov 5, 2024 · In today's fast-paced digital world, real-time data processing has become a crucial part of many business operations. Now data for the consumers is going to be read in order Nov 22, 2024 · Reading via Kafka Reader with Avro Parser, schema registry URL specified The sample application KafkaConfluentConsumer reads the data written to confluent Kafka cloud by Striim’s Kafka Writer. Step-by-Step Implementation Step 1: Create a New Apache Kafka Project in IntelliJ Apr 25, 2021 · Design Streaming Data pipeline using Kafka In this article I will explain some data pipeline use cases and how can Kafka be useful there with a prof of concpt how to build data streaming pipeline. Aug 29, 2022 · Apache Kafka Streams (KStreams): Code sample written in Java, which consumes and aggregates the real-time sales data from Kafka using KStreams Apache Pinot/Apache Superset: Code sample to query products, purchases, and purchases-enhanced streaming data from Kafka using SQL Oct 17, 2023 · In this article, we’ll dive into code examples that demonstrate how to work with Apache Kafka using Node. You use Kafka to build real-time streaming applications. In this article, we will explore how to incorporate JMeter into Apache Kafka tests but understand what it does before we begin the main contents. Oct 20, 2020 · A developer gives a tutorial on testing Kafka applications in a declarative way and how to test Kafka- and REST-based microservices applications. For this tutorial, we will assume that you have Apache Kafka and Zookeeper installed and configured. sh --broker-list localhost:9092 --topic user-timeline < samplerecords. We can use it as a messaging system to decouple message producers and consumers, but in comparison to “classical” messaging systems like ActiveMQ, it is designed to handle real-time data streams and provides a distributed, fault-tolerant, and highly scalable architecture for processing and Mar 3, 2022 · Review key concepts for Apache Kafka. Sep 17, 2022 · Creating a Real-time Data Stream Using Apache Kafka in Python A beginner-level tutorial on setting up Kafka with python in windows 10 Real-time data streaming has many use cases. In this blog post, we will explore the core concepts, provide a typical usage example, discuss common practices, and share best practices related to Kafka sample data store example code. The primary goal of this piece of software is to allow programmers to create efficient, real-time, streaming applications that could work as Microservices. Mar 19, 2025 · Learn to integrate Apache Kafka with Java in this real-world tutorial. In kafka architecture we have four major components: Kafka Brokers: Server in Kafka cluster is said to be broker. This article delves into the Kafka message format, an essential component for understanding how data is structured and managed within Kafka. Manually create a Data Catalog table for the streaming source. Jan 30, 2024 · Introduction When it comes to building real-time streaming data pipelines, Apache Kafka emerges as the centralized service for handling high-throughput and low-latency messaging. Since this software has provided a highly scalable solution for data processing, Kafka developers have become highly in demand. A Docker image based on Kafka Connect with the kafka-connect-datagen plugin is already available in Dockerhub, and it is ready for you to use. You will use a Fabric Eventstream to receive data from Kafka, and then send it to a KQL Dec 24, 2024 · How to ingest data to Elasticsearch through Kafka A step-by-step guide to integrating Apache Kafka with Elasticsearch for efficient data ingestion, indexing, and visualization using Python, Docker Compose, and Kafka Connect. May 8, 2024 · In this tutorial, we’ll delve into building a sample project using Kafka, a distributed streaming platform, along with ‘confluent_kafka’, a Python client library for Kafka. Each broker can receive the You can use the PostgreSQL to Kafka sample integration application, to insert, delete, and update the PosgtreSQL CDC source table, then you should see data flowing in the UI, indicated by a number of msgs/s. Since Avro converts data into arrays of bytes, and that Kafka messages also contain binary data, we can ship Avro messages with Kafka. Sends sample tickets to Kafka, classifies and routes them with an AI workflow, and orchestrates everyth Get Started with Your Data Streaming Engineering Certification Journey! This exam is designed to validate your expertise in data streaming technologies and practices. Step 3 - Create a Data Flow to feed the 100,000 application records from the data type table to the Kafka topic. Learn practical implementation, best practices, and real-world examples. Enhance your data pipelines and gain actionable insights efficiently. Passing this exam will not only demonstrate your skills but also open up exciting opportunities. IoT Applications: Kafka can handle the data streams from IoT sensors, allowing real-time analysis and responses. Jul 23, 2025 · Apache Kafka is open source real time data handling platform. Dec 20, 2023 · Apache Flink — Kafka Consumer & Producer — Example In this blog, we will walk you through a tutorial on consuming Kafka data using Apache Flink. Use the sample data generator to simulate streaming events and observe how data flows through topics and schemas in your Aiven for Apache Kafka® service. Master Kafka implementation, architecture, and best practices for building scalable applications. Apache May 31, 2020 · In this post, we will attempt to establish a Kafka Producer to utilize Avro Serializer, and the Kafka Consumer to subscribe to the Topic and use Avro Deserializer. May 6, 2025 · Step 2 - Create a Data Set (Type=Kafka) and link to the Kafka instance created above. It provides a distributed and fault-tolerant messaging system that can handle high Dec 23, 2024 · A Kafka consumer is a client application that reads messages from Kafka topics, it retrieves messages from Kafka partitions at their own pace, allowing for real-time or batch processing of data. Companies need to analyze and act on data as it is generated to stay competitive and make informed decisions. If you have yet configured an Apache Kafka instance that is accessible by RillData, please see the documentation on Connecting Sources for Kafka.