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Sample code that shows the important aspects of developing custom connectors for Kafka Connect. It provides the resources for building, deploying, and running the code on-premises using Docker, as well as running the code in the cloud.
After you migrate from an existing graph database to Amazon Neptune, you might want to capture and process changed data in real time. Continuous replication of databases using the change data capture technique allows you to unlock your data and make it available to other systems for use cases such as distributed data processing, building an ente…
Real-time streaming pipeline using AWS CDK with Amazon MSK Serverless, Amazon Managed Flink, Amazon Kinesis Data Firehose, Amazon S3, and Amazon SageMaker Feature Store for stock market data processing.
A tool that can be deployed to process posting and receiving text and audio files from and into a data lake, apply transformation in a distributed manner, and load it into a warehouse in a suitable format to train a speech-to-text model
Real-time data pipeline using Apache Kafka & AWS MSK. Streams CDC data from RDS to S3 via Kafka Connect. Ideal for mastering cloud-native big data integration