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Serverless Application Model (SAM) for Data Professionals

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July 18, 20227 min read DevelopmentAWSAWS LambdaAWS SAMPythonS3Serverless Application Model (SAM)

We'll discuss how to build a serverless data processing application using the Serverless Application Model (SAM). A Lambda function is developed, which is triggered whenever an object is created in a S3 bucket. 3rd party packages are necessary for data processing and they are made available by Lambda layers.

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Profile
Jaehyeon Kim
Jaehyeon Kim
Data Engineer | Data Streaming Enthusiast | Powering ML & AI in Real Time
Taxonomies
Data Streaming 68 Data Engineering 38 Development 28 Data Analysis 17 Data Integration 12 Open Source 7 Kubernetes 5 Security 5 Machine Learning 4 Data Architecture 3 Data Processing 3 Big Data 2 System Architecture 2 Artificial Intelligence 1 Conference 1 Data Platform 1 Industry 4.0 1 Stream Processing 1 Web Development 1
Python 75 Apache Kafka 64 Docker 52 AWS 50 R 37 Apache Flink 33 Kpow 23 Apache Beam 17 Apache Spark 15 Kafka Connect 15 Amazon MSK 14 AWS Lambda 14 Dbt 13 Amazon EMR 11 Kubernetes 8 Pyflink 8 Kotlin 7 PostgreSQL 7 Change Data Capture (CDC) 6 Debezium 6 Dynamic-Des 6 Amazon DynamoDB 5 Apache Airflow 5 Discrete Event Simulation 5 Factor House Local 5 PySpark 5 Amazon API Gateway 4 Amazon Athena 4 AWS Glue 4 AWS Glue Schema Registry 4 BigQuery 4 Digital Twin 4 FastAPI 4 Kafka 4 Minikube 4 R Shiny 4 RServe 4 SimPy 4 Amazon EKS 3 Amazon QuickSight 3 ALL 165
Kafka Development With Docker 11 Apache Beam Python Examples 10 Real Time Streaming With Kafka and Flink 7 DBT Pizza Shop Demo 6 Tree Based Methods in R 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 Building Real-Time Digital Twins With Dynamic-Des 2 DBT Guide for Production 2 Deploy Python Stream Processing App on Kubernetes 2 From Prototype to Production: Real-Time Product Recommendation With Contextual Bandits 2 ALL 23
2026 11 2025 13 2024 29 2023 39 2022 15 2021 7 2020 1 2019 5 2018 2 2017 6 2016 6 2015 15 2014 5
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    Stream Processing With Flink in Kotlin
    December 10, 2025
  • featured.png
    Building an Agentic Analytics System Over an Iceberg Lakehouse
    July 18, 2026
  • featured.png
    Dynamic DES V0.11.1: A Declarative API With Postgres and Redis Connectors
    July 17, 2026
  • featured.png
    Introducing Odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • featured.png
    One Simulation, Two Pipelines: Batch Training and Live Inference With Dynamic DES V0.8.1
    May 25, 2026
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    Current London 2026: Building End-to-End Data Lineage
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    Building an Event-Driven Hybrid Digital Twin With Dynamic-Des
    April 29, 2026
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    Why Digital Twins Are Rewiring Industry 4.0
    April 22, 2026
  • featured.png
    Building a Real-Time Industrial Digital Twin With Apache Flink and Online Machine Learning
    April 21, 2026
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    Slides as Code: Integrating Reveal.js Into My Hugo Blog
    March 9, 2026
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    Productionizing an Online Product Recommender Using Event Driven Architecture
    February 23, 2026
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Jaehyeon Kim

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

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