Jaehyeon Kim
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Pipeline, Notebook, SQL and DataFrame - Apache Beam Local Development with Python Part 1

Pipeline, Notebook, SQL and DataFrame - Apache Beam Local Development with Python Part 1
March 28, 202412 min read Data Processing Apache Beam Local Development With PythonApache BeamBeam SQLJupyter NotebookPython

Run a basic Apache Beam pipeline in Python, then develop interactively in Jupyter notebooks with Beam SQL and Beam DataFrames examples.

Read More: Pipeline, Notebook, SQL and DataFrame - Apache Beam Local Development with Python Part 1
Profile
Jaehyeon Kim
Jaehyeon Kim
Data Engineer | Data Streaming | Powering ML & AI in Real Time
Taxonomies
Data Streaming 70 Data Engineering 38 Development 28 Data Analysis 17 Data Integration 12 Open Source 7 Kubernetes 6 Machine Learning 5 Security 5 Data Architecture 3 Data Processing 3 Big Data 2 System Architecture 2 Web Development 2
Python 75 Apache Kafka 68 AWS 50 Docker 50 Apache Flink 34 Apache Beam 17 Apache Spark 16 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 Apache Iceberg 4 AWS Glue 4 AWS Glue Schema Registry 4 BigQuery 4 Digital Twin 4 FastAPI 4 Minikube 4 SimPy 4 Amazon EKS 3 Amazon QuickSight 3 Amazon S3 3 Apache Hudi 3 EMR on EKS 3 GCP 3 ALL 137
Kafka Development with Docker 11 Apache Beam Python Examples 10 Real Time Streaming with Kafka and Flink 7 dbt Pizza Shop Demo 6 Apache Beam Local Development with Python 5 Building Real-Time Digital Twins with dynamic-des 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 24
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
Posts
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Introducing odctl: One CLI for a Local Open Data Stack
    Introducing odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    May 25, 2026
  • Building an Event-Driven Hybrid Digital Twin with dynamic-des
    Building an Event-Driven Hybrid Digital Twin with dynamic-des
    April 29, 2026
  • Why Digital Twins Are Rewiring Industry 4.0
    Why Digital Twins Are Rewiring Industry 4.0
    April 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
  • Slides as Code: Integrating Reveal.js into my Hugo Blog
    Slides as Code: Integrating Reveal.js into my Hugo Blog
    March 9, 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
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Introducing odctl: One CLI for a Local Open Data Stack
    Introducing odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    May 25, 2026
  • Current London 2026: Building End-to-End Data Lineage
    Current London 2026: Building End-to-End Data Lineage
    May 22, 2026
  • Building an Event-Driven Hybrid Digital Twin with dynamic-des
    Building an Event-Driven Hybrid Digital Twin with dynamic-des
    April 29, 2026
  • Why Digital Twins Are Rewiring Industry 4.0
    Why Digital Twins Are Rewiring Industry 4.0
    April 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
  • Slides as Code: Integrating Reveal.js into my Hugo Blog
    Slides as Code: Integrating Reveal.js into my Hugo Blog
    March 9, 2026
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 2026
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Jaehyeon Kim

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

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