#Flink
Showing 30 of 30 repositories tagged #flink, ranked by stars
Apache Flink
CSDN博客专家程序员欣宸的github，这里有六百多篇原创文章的详细分类和汇总，以及对应的源码，内容涉及Java、Docker、Kubernetes、DevOPS等方面
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.
深圳地铁大数据客流分析系统🚇🚄🌟
Cloud Native DataOps & AIOps Platform | 云原生数智运维平台
More than 2000+ Data engineer interview questions.
Know your data better！Datavines is Next-gen Data Observability Platform, support metadata manage and data quality.
Low-code tool for automating actions on real time data | Stream processing for the users.
Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.
Manuscript is a revolutionary blockchain data streaming framework. With Manuscript, you can seamlessly integrate on-chain and off-chain data into target data storage for unrestricted querying and analysis
WeDataSphere is a financial grade, one-stop big data platform suite.
电商大数据商品实时推荐系统，Vue + TypeScript + ElementUI+ Spring + Spark
后端使用 SpringCloud Alibaba 开发，移动端使用 React Native 构建，管理后台使用 Arco Design 进行构建，并在支付上接入数字货币（比特币、以太坊UDST、平台Token）支付，后端采用 Hadoop 与 Flink 等大数据框架构建实时计算与离线计算体系。
🔥🔥DatalinkX异构数据源之间的数据同步系统，支持海量数据的增量或全量同步，同时支持HTTP、Oracle、MySQL、ES等数据源之间的数据流转，支持中间transform算子如SQL算子、大模型算子，底层依赖Flink、Seatunnel引擎，提供流转任务管理、任务级联配置、任务日志采集等功能🔥🔥
Next-generation decentralized data lakehouse and a multi-party stream processing network
Cloudflow enables users to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes.
Ultra-Lightweight AI-Powered Big Data Center | 至轻云-超轻量级智能化大数据中心/数据中台
Hadoop Crypto Ledger - Analyzing CryptoLedgers, such as Bitcoin Blockchain, on Big Data platforms, such as Hadoop/Spark/Flink/Hive
📈 A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.
Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®
CLI for Confluent Cloud and Confluent Platform
Examples for using Apache Flink® with DataStream API, Table API, Flink SQL and connectors such as MySQL, JDBC, CDC, Kafka.
Apache Flink Guide
Docker Compose environments for developing modern data platform architectures using Kafka, Flink, Spark, Iceberg, OpenLineage, OpenMetadata, Pinot, ClickHouse, StarRocks + Kpow & Flex by Factor House
Examples of Flink on Azure
Jupyter Integration for Flink SQL via Ververica Platform
Confluent for Visual Studio Code
Integrates LLMs as PTransform in Apache Beam pipelines using LangChain
Flink Example