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10AprApril 10, 2023

Handling bad messages via DLQ by configuring JDBC Kafka Sink Connector

Any trustworthy data streaming pipeline needs to be able to identify and handle faults. Exceptionally while IoT devices ingest endlessly critical data/events into permanent persistence storage like RDBMS for future analysis via multi-node Apache Kafka cluster. (Please click here to read how to setup multi-node Apache Kafka Cluster). There could be scenarios where IoT devices might send fault/bad events due to various reasons at the source points and henceforth appropriate actions can be executed to correct it further. The Apache Kafka...

By Gautam GoswamiApache Kafka, Data EngineeringApache Kafka, Big Data, JDBC Sink Connector, Kafka connect, schema registryComments Off

Streaming Data to RDBMS via Kafka JDBC Sink Connector without leveraging Schema Registry

In today’s M2M (Machine to machine) communications landscape, there is a huge requirement for streaming the digital data from heterogeneous IoT devices to the various RDBMS for further analysis via the dashboard, triggering different events to perform numerous actions. To support the above scenarios Apache Kafka acts like a central nervous system where data can be ingested from various IoT devices and persisted into various types of the repository, RDBMS, cloud storage, etc. Besides, various types of data pipelines...

By Gautam GoswamiApache Kafka, Data EngineeringApache Kafka, JDBC Sink Connector, Kafka connect, Kafka Topics, schema registryComments Off

Importance of Schema Registry on Kafka Based Data Streaming Pipelines

Needless to say Apache Kafka delivers messages to both real-time and batch consumers without performance degradation and in addition to that gaining enormous momentum as a foremost component for data streaming pipelines too. Credit card fraud detection, predictive maintenance, or real-time analytics, building streaming IoT platform, etc are the example of real-time use cases. To handle massive amounts of data ingestion, Apache Kafka is the cornerstone of a robust IoT data platform. A schema defines the structure of the data...

By Gautam GoswamiApache Kafka, Architecture, Data Engineering, Data IngestionApache Kafka, assign schema info in the schema registry, Avro, building streaming IoT platform, centralized schema management, Confluent Schema Registry, Credit card fraud detection, Data ingestion, data pipeline, Data Pipelines, Data Streaming, deserialized the messages, distributed storage layer for schemas, Hadoop, JSON Schema, Kafka based data pipeline, Kafka based data streaming pipelines, Kafka connect, Kafka producers and consumers, multi-broker Kafka topic, Multi-node kafka cluster, predictive maintenance, producer-consumer contract, Protobuf schemas, real-time analytics, schema change history, schema evolution, schema of registered data streams, schema registry, Schema Registry on Kafka Based Data Streaming Pipelines, Schema Registry on Kafka Streaming Pipelines, service layer for metadata, streaming applications, streaming data to Kafka topicComments Off

Tag - schema registry

Handling bad messages via DLQ by configuring JDBC Kafka Sink Connector

Streaming Data to RDBMS via Kafka JDBC Sink Connector without leveraging Schema Registry

Importance of Schema Registry on Kafka Based Data Streaming Pipelines

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