Apache Kafka

Apache Kafka For Absolute BeginnersThis is the central repository for all the materials related to Apache Kafka For Absolute Beginners Course by Prashant Pandey. You can get the full course at Apache Kafka @ Udemy. Description I am creating Apache Kafka for absolute beginners course to help you understand the Apache Kafka Stack, the architecture of Kafka components, Kafka Client APIs (Producers and Consumers) and apply that knowledge to create Kafka programs in Java. Who should take this Course?This course is designed for software engineers, solution architects, and managers willing to implement Kafka and solve real-time stream processing problems. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation. Still, they work with the people who implement Kafka Streams at the ground level.Kafka and source code versionThis Course is using the Apache Kafka 2.x. I have tested all the source code and examples used in this Course on Apache Kafka 2.5 open-source distribution.

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. What is Azure Event Hubs for Apache Kafka? Article12/18/2024 In this article -->This article explains how you can use Azure Event Hubs to stream data from Apache Kafka applications without setting up a Kafka cluster on your own.OverviewAzure Event Hubs provides an Apache Kafka endpoint on an event hub, which enables users to connect to the event hub using the Kafka protocol. You can often use an event hub's Kafka endpoint from your applications without any code changes. You modify only the configuration, that is, update the connection string in configurations to point to the Kafka endpoint exposed by your event hub instead of pointing to a Kafka cluster. Then, you can start streaming events from your applications that use the Kafka protocol into event hubs, which are equivalent to Kafka topics.To learn more about how to migrate your Apache Kafka applications to Azure Event Hubs, see the migration guide.NoteThis feature is supported only in the **standard, premium, and dedicated tiers.Event Hubs for Apache Kafka Ecosystems support Apache Kafka version 1.0 and later.Apache Kafka and Azure Event Hubs conceptual mappingConceptually, Apache Kafka and Event Hubs are very similar. They're both partitioned logs built for streaming data, whereby the client controls which part of the retained log it wants to read. The following table maps concepts between Apache Kafka and Event Hubs.Apache Kafka ConceptEvent Hubs ConceptClusterNamespaceTopicAn event hubPartitionPartitionConsumer GroupConsumer GroupOffsetOffsetApache Kafka features supported on Azure Event HubsKafka StreamsKafka Streams is a client library for stream analytics that is part of the Apache Kafka open-source project, but is separate from the Apache Kafka event broker.NoteKafka Streams is currently in Public preview in Premium, and Dedicated tier.Azure Event Hubs supports the Kafka Streams client library, with details and concepts available here.The most common reason Azure Event Hubs customers ask for Kafka Streams support is because they're interested in Confluent's "ksqlDB" product. "ksqlDB" is a proprietary shared source project that is licensed such that no vendor "offering software-as-a-service, platform-as-a-service, infrastructure-as-a-service, or other similar online services that compete with Confluent products or services" is permitted to use or offer "ksqlDB" support. Practically, if you use ksqlDB, you must either operate Kafka yourself or you must use Confluent’s cloud offerings. The licensing terms might also affect Azure customers who offer

Dockerized Fake Data Producer For Aiven for Apache Kafka®This project aims at creating a Docker version of the Apache Kafka® Python Fake Data Producer.OverviewThe Dockerized Fake Data Producer For Aiven for Apache Kafka®, requires:An Aiven valid account and login TokenAn Aiven for Apache Kafka instance already createdThe run.sh will:login using username and tokenpull all the required information (hostname, port, certificates) from Aiven for Apache Kafkacreate the topic (if the topic is already exist you'll see an error)create the messagesPrerequisitesThe Dockerized Fake Data Producer For Aiven for Apache Kafka, requires:An Aiven valid account and login TokenAn Aiven for Apache Kafka instance already createdSetupclone the repository and navigate to the fake-data-producer-for-apache-kafka-docker foldercopy the conf/env.conf.sample to conf/env.conf and edit the following parametersParameter NameParameter ValuePROJECT_NAMEName of the Aiven Project where the Aiven for Apache Kafka service is runningSERVICE_NAMEName of the Aiven for Apache Kafka service runningTOPICName of the Topic to write messages inPARTITIONSNumber of partitions to set when creating a topic (this will NOT alter existing topics)REPLICATIONNumber of replicas to set when creating a topic (this will NOT alter existing topics)NR_MESSAGESOverall number of messages to produce (0 for unlimited))MAX_TIMEMax time in seconds between messages (0 for no wait)SUBJECTFake data subject (One between pizza, userbehaviour, stock, realstock (using the yahoo finance apis) and metric)USERNAMEAiven account usernameTOKENAiven account tokenPRIVATELINKFlag to say if the service is under a privatelink, to fetch the correct URLSECURITYFlag to say if the Kafka service is using SSL or not, possible values are SSL or PLAINTEXTTo know more about parameters, check the