Jaehyeon Kim
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  3. Amazon DynamoDB

Write data to DynamoDB using Kafka Connect - Real Time Streaming with Kafka and Flink Lab 5

Write data to DynamoDB using Kafka Connect - Real Time Streaming with Kafka and Flink Lab 5
November 30, 202310 min read Data-Streaming Real Time Streaming With Kafka and FlinkAmazon DynamoDBApache FlinkApache KafkaAWSKafka ConnectKpow

Ingest records from a Kafka topic into a DynamoDB table using the Camel DynamoDB sink connector, defined and run on Kafka Connect.

Read More: Write data to DynamoDB using Kafka Connect - Real Time Streaming with Kafka and Flink Lab 5

Deployment via AWS Managed Flink - Kafka, Flink and DynamoDB for Real Time Fraud Detection Part 2

Deployment via AWS Managed Flink - Kafka, Flink and DynamoDB for Real Time Fraud Detection Part 2
September 14, 202317 min read Data-Streaming Kafka, Flink and DynamoDB for Real Time Fraud DetectionAmazon DynamoDBApache FlinkApache KafkaAWSKpowPython

Deploy the Kafka, Flink and DynamoDB fraud detection app to Amazon Managed Service for Apache Flink, after developing it locally on Docker.

Read More: Deployment via AWS Managed Flink - Kafka, Flink and DynamoDB for Real Time Fraud Detection Part 2

Local Development - Kafka, Flink and DynamoDB for Real Time Fraud Detection Part 1

Local Development - Kafka, Flink and DynamoDB for Real Time Fraud Detection Part 1
August 10, 202317 min read Data-Streaming Kafka, Flink and DynamoDB for Real Time Fraud DetectionAmazon DynamoDBApache FlinkApache KafkaAWSDockerKpowPython

Develop a fraud detection app locally on Docker with Kafka, Flink and DynamoDB, re-implementing a solution taken from an AWS workshop.

Read More: Local Development - Kafka, Flink and DynamoDB for Real Time Fraud Detection Part 1

Deploy Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 3

Deploy Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 3
July 3, 202314 min read Data Integration Data-Streaming Kafka Connect for AWS Services IntegrationAmazon DynamoDBAmazon MSKApache CamelApache KafkaAWSKafka ConnectKpow

Deploy the Camel DynamoDB sink connector and its data generator source on Amazon MSK and MSK Connect, moving the local pipeline onto AWS.

Read More: Deploy Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 3

Develop Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 2

Develop Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 2
June 4, 202314 min read Data-Streaming Kafka Connect for AWS Services IntegrationAmazon DynamoDBApache CamelApache KafkaAWSDockerKafka Connect

Develop the Camel DynamoDB sink connector on Docker, consuming fake order records from a Kafka topic and writing them into a DynamoDB table.

Read More: Develop Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 2
Profile
Jaehyeon Kim
Jaehyeon Kim
Data Engineer | Data Streaming | Powering ML & AI in Real Time
Taxonomies
Data Streaming 70 Data Engineering 43 Development 28 Data Analysis 17 Open Source 13 Data Integration 12 Machine Learning 7 Kubernetes 6 Security 5 Data Architecture 3 Data Processing 3 Big Data 2 System Architecture 2 Web Development 2
Python 77 Apache Kafka 73 AWS 50 Docker 50 Apache Flink 39 Apache Beam 17 Apache Spark 17 Kafka Connect 16 Amazon MSK 14 AWS Lambda 14 Benchtop 13 dbt 13 odctl 12 Amazon EMR 11 dynamic-des 11 PostgreSQL 10 Kubernetes 8 PyFlink 8 Apache Iceberg 7 Change Data Capture (CDC) 7 Debezium 7 Kotlin 7 Apache Airflow 6 Discrete Event Simulation 6 Kafka UI 6 Amazon DynamoDB 5 PySpark 5 SimPy 5 Amazon API Gateway 4 Amazon Athena 4 AWS Glue 4 AWS Glue Schema Registry 4 BigQuery 4 Digital Twin 4 FastAPI 4 Minikube 4 Amazon EKS 3 Amazon QuickSight 3 Amazon S3 3 Apache Hudi 3 ALL 143
Kafka Development with Docker 11 Apache Beam Python Examples 10 Real Time Streaming with Kafka and Flink 7 Building Real-Time Digital Twins with dynamic-des 6 dbt Pizza Shop Demo 6 Apache Beam Local Development with Python 5 dbt for Effective Data Transformation on AWS 5 Getting Started with Real-Time Streaming in Kotlin 5 Kafka Connect for AWS Services Integration 5 Serverless Data Product 4 Data Lake Demo Using Change Data Capture 3 Getting Started with PyFlink on AWS 3 Kafka Development on Kubernetes 3 Parallel processing on single machine 3 Realtime Dashboard with FastAPI, Streamlit and Next.js 3 API development with R 2 dbt Guide for Production 2 Deploy Python Stream Processing App on Kubernetes 2 Download Stock Data 2 From Prototype to Production: Real-Time Product Recommendation with Contextual Bandits 2 ALL 25
2026 17 2025 13 2024 29 2023 39 2022 15 2021 7 2020 1 2019 5 2018 2 2017 6 2016 6 2015 15 2014 5
Posts
  • odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    October 12, 2026
  • Defining Data-Streaming Simulations in YAML, Without Writing Python
    Defining Data-Streaming Simulations in YAML, Without Writing Python
    October 6, 2026
  • Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    October 2, 2026
  • Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    October 1, 2026
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Current London 2026: Building End-to-End Data Lineage
    Current London 2026: Building End-to-End Data Lineage
    May 22, 2026
  • Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    April 21, 2026
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 2026
  • Stream Processing with Flink in Kotlin
    Stream Processing with Flink in Kotlin
    December 10, 2025
  • Guide to Building Integrated Web Applications with FastAPI and NiceGUI
    Guide to Building Integrated Web Applications with FastAPI and NiceGUI
    November 19, 2025
  • odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    odctl 1.0: Kafka, Flink, Spark, Iceberg, Trino and MLflow on Your Laptop with One Command
    October 12, 2026
  • Defining Data-Streaming Simulations in YAML, Without Writing Python
    Defining Data-Streaming Simulations in YAML, Without Writing Python
    October 6, 2026
  • Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    Keeping Game Leaderboards Up to Date in Real Time with Kafka and Flink SQL
    October 2, 2026
  • Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    Change Data Capture on a Simulated Online Shop with Debezium and Kafka Connect
    October 1, 2026
  • Data Streaming and Machine Learning Projects That Run on Your Laptop
    Data Streaming and Machine Learning Projects That Run on Your Laptop
    September 30, 2026
  • Learning MLOps with a Feature Store: A New Series
    Learning MLOps with a Feature Store: A New Series
    September 28, 2026
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES: A Declarative API with Postgres and Redis Connectors
    Dynamic DES: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Running Kafka, Flink, Spark, Trino and Iceberg Locally with One CLI
    Running Kafka, Flink, Spark, Trino and Iceberg Locally with One CLI
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES
    May 25, 2026
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Jaehyeon Kim

Data Engineer | Data Streaming | Powering ML & AI in Real Time

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