该仓库专注于让读者秒懂Flink组件，包含Flink实战代码和文档、200个Flink教程知识点，Flink Datastream、Flink Table、Flink Window、Flink State、Flink Checkpoint、Flink Metrics、Flink Memory、Flink on standalone /yarn/k8s、Flink SQL、Flink CEP、Flink CDC、Flink UDF、PyFlink、Flink新特性、Flink Partition、Flink Memory等知识点。详细链接请看：https ://mp.weixin.qq.com/mp /appmsgalbum?__biz=Mzg5NDY3NzIwMA==&action=g…

Gathers Python deployment, infrastructure and practices.

🌟 Examples of use cases that utilize Decodable, as well as demos for related open-source projects such as Apache Flink, Debezium, and Postgres.

Apache Flink (Pyflink) and Related Projects

Frequently Asked Questions about PyFlink

Self-contained demo using PyFlink with Gensim+spaCy to find topics in the Flink User Mailing List. All you need is Docker! 🐳

Primary Recommender System: online[matching|ranking...](Flask|Vue) - nearline[model serving|real-time service](Flink|tensorflow serving|redis) - offline[feature engine|model training](Spark|Hdfs(Hbase)|tf)

Examples of Apache Flink® applications showcasing the DataStream API, Table API in Java and Python, and Flink SQL, featuring AWS, GitHub, Terraform, Streamlit, and Apache Iceberg.

it's a simple podcase app poc.

Docker base image for Flink Python, using miniconda environment

Sahibinden.com Data Engineering Technical Case Study

A Makeshift data infrastructure setup for datafirstjobs.com.

First project with Apache Flink (a framework for distributed stream and batch data processing)

Engaging, interactive visualizations crafted with Streamlit, seamlessly powered by Apache Flink in batch mode to reveal deep insights from data.

Python Practices 🐙 offers step-by-step Python exercises, real-world examples, and best coding standards from fundamentals to SOLID OOP for practical, scalable learning and growth.

PyFlink data stream processing utilities 🐿

Implementation of the PLStream locally on macOS.

This project showcases a real-time data streaming pipeline using Apache Flink, Apache Spark, and Grafana. It streams data, stores it in Parquet format, and performs aggregations for insights, with seamless visualization via Grafana dashboards.

Big Data Stack