(Part 4/4): Confluent Cloud (Managed Kafka as a Service) - What is a Connector & How to create Custom Connectors
Published: 2024-01-18 21:48:17

In this podcast, Krish explores the various connectors available in Confluent Cloud. He starts by recapping the previous podcasts and the basics of Confluent Cloud. Krish then focuses on connectors, explaining their value and why they can reduce the need for writing code. He explores different connectors, such as the data gen source connector and the MongoDB Atlas connectors. Krish also discusses different data formats, including Avro, Protobuf, and JSON. He briefly touches on implementing custom connectors. Krish explores the topic of connectors in Confluent Cloud. He discusses the process of creating connectors and the different types of connectors available. Krish also delves into configuring connectors and defining configuration parameters. He explores the concept of custom connector configuration and the use of connector properties files. Krish then explores existing connectors, such as the HTTP source and sync connectors, and discusses the process of publishing custom connectors. He concludes by mentioning the Confluent CLI for managing connectors.

## Takeaways
- Connectors in Confluent Cloud provide value by reducing the need for writing code.
- Different connectors are available for various data sources and destinations, such as MongoDB, Amazon S3, and Elasticsearch.
- Data formats like Avro, Protobuf, and JSON can be used with connectors.
- Implementing custom connectors allows for more flexibility and integration with specific systems.
- Connectors enable seamless data integration and propagation between different systems. Connectors in Confluent Cloud allow for seamless integration with various systems and services.
- Custom connectors can be created and published to Confluent Cloud.
- Configuration parameters for connectors can be defined and managed.
- The Confluent CLI provides a command-line interface for managing connectors.

## Chapters
00:00 Introduction

00:35 Recap of Previous Podcasts

01:05 Focus on Connectors in Confluent Cloud

02:16 Exploring Data Gen Source Connector

03:43 Different Formats: Avro, Protobuf, JSON

08:07 Differences Between Avro and Protobuf

10:03 Exploring Other Connectors

11:14 Using MongoDB Atlas Connectors

12:08 Testing Different Formats with Connectors

13:36 Handling Avro Format with Consumer

16:58 Exploring More Connectors: Snowflake, Amazon S3, Elasticsearch

20:33 Implementing Custom Connectors

27:31 Exploring More Connectors: Salesforce, Oracle, Jira

35:16 Exploring More Connectors: SQL Server, MySQL

38:43 Implementing Custom Connectors

43:24 Exploring More Connectors: Kafka, File

46:20 Understanding Connector Implementation

49:06 Creating Custom Connectors

50:00 Summary and Conclusion

50:59 Creating Connectors

52:04 Configuring Connectors

54:00 Custom Connector Configuration

56:08 Defining Configuration Parameters

57:38 Configuration Properties

59:49 Self-Managed Connectors

01:00:27 Connector Properties File

01:01:28 Creating Custom Connectors

01:02:09 Publishing Custom Connectors

01:03:37 Existing Connectors

01:04:14 HTTP Source Connector

01:06:40 HTTP Sync Connector

01:08:34 Other Connectors

01:10:34 Managing Connectors

01:12:14 Confluent CLI

## Video
{% embed https://youtu.be/k5D14TO_nPY %}

## Transcript
https://products.snowpal.com/api/v1/file/7be7f034-0511-48b0-9a00-d7fa9f243d2f.pdf