Software Development, Finance and Economics

(Part 4/4) Confluent Cloud (Managed Kafka as a Service) - What is a connector & How to create Custom Connectors


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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: 37Existing Connectors

    01:04: 14HTTP Source Connector

    01:06:40 HTTP Sync Connector

    01:08:34 Other Connectors

    01:10:34 Managing Connectors

    01:12:14 Confluent CLI

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    Software Development, Finance and EconomicsBy Krish Palaniappan and Varun Palaniappan

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