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13 search results found

Schema Registry ⭐ 2,092

Confluent Schema Registry for Kafka

Schemastore.nvim ⭐ 578

🛍 JSON schemas for Neovim

Kafka Serialization ⭐ 121

Lego bricks to build Apache Kafka serializers and deserializers

Awesome Jsonschema ⭐ 101

A curated list of awesome JSON Schema resources, tutorials, tools, and more.

Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API.

Springboot Kafka Connect Jdbc Streams ⭐ 82

Project goal: Explore Kafka, Kafka Connect, and Kafka Streams. Components: store-api: Inserts/updates MySQL records. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors: Listen to Kafka, insert/update Elasticsearch docs. store-streams: Listens to Kafka, processes with Kafka Streams, pushes new messages to Kafka.

Springboot Kafka Connect Debezium Ksqldb ⭐ 65

Experiment with Kafka, Debezium, and ksqlDB. research-service: Performs MySQL record manipulation. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors and kafka-research-consumer: Listen to Kafka, insert/update Elasticsearch. ksqlDB-Server: Listens to Kafka, performs joins, and pushes new messages to new Kafka topics.

Avro Schema Parser ⭐ 25

An AsyncAPI schema parser for Avro 1.x schemas.

Spring Cloud Stream Event Sourcing Testcontainers ⭐ 24

Goal: create a Spring Boot application that handles users using Event Sourcing. So, whenever a user is created, updated, or deleted, an event informing this change is sent to Kafka. Also, we will implement another application that listens to those events and saves them in Cassandra. Finally, we will use Testcontainers for end-to-end testing.

Schema Registry ⭐ 23

📙 json & avro http schema registry backed by Kafka

Event_schema_registry ⭐ 12

Simple implantation of schema registry for JSON schema events

Schematic Kafka ⭐ 9

Protocol agnostic typescript implementation to encode and decode kafka messages using the Confluent Schema Registry

Spring Kafka De Serialization Types ⭐ 9

The goal is to play with Spring Kafka. We've implemented 5 examples of producer and consumer services that exchanges messages through Kafka using different types of serialization and approaches.

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