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Building Kafka Connectors – The Why and How

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Apache Kafka® is the technology behind event streaming which is fast becoming the central nervous system of flexible, scalable, modern data architectures. Customers want to connect their databases, data warehouses, applications, microservices and more, to power the event streaming platform. To connect to Apache Kafka, you need a connector!

This two-part online talk series helps you understand the value of building a connector to Kafka, how to build connectors, and why you should work with Confluent, the original authors of Apache Kafka, to get it done.

Why Build a Kafka Connector

This online talk focuses on the key business drivers behind connecting to Kafka and introduces the new Confluent Verified Integrations Program. We’ll discuss what it takes to participate, the process and benefits of the program.

Audience: Business and technical audiences from companies that develop BI or analytics applications, databases, data storage solutions, IoT applications, messaging, monitoring, reporting or visualization applications; or any solution that could connect to Kafka.

How to Build a Kafka Connector

This online talk dives into the new Verified Integrations Program and the integration requirements, the Connect API and sources and sinks that use Kafka Connect. We cover the verification steps and provide code samples created by popular application and database companies. We will discuss the resources available to support you through the connector development process.

Audience: Technically focused, developers and engineers, solution architects from companies that build BI or analytics applications, databases, data storage solutions, IoT applications, messaging, monitoring, reporting or visualization applications, or any solution that could connect to Kafka. Part 1 is recommended, but not required to attend this webinar.

Learn more about Confluent's Verified Integrations Program

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Free Forever on a Single Kafka Broker
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The software will allow unlimited-time usage of commercial features on a single Kafka broker. Upon adding a second broker, a 30-day timer will automatically start on commercial features, which cannot be reset by moving back to one broker.

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