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