Big Data

利用Docker部署大数据环境 Deploying a Real-Time Lakehouse Big Data Environment Using Docker

2025-03-02 15:00:00

使用Docker搭建HDFS+Flink+Paimon流批一体环境，进行数据查询，并加入StarRocks查询 Using Docker to Set Up an HDFS + Flink + Paimon Unified Streaming and Batch Environment for Data Querying, Adding StarRocks For Data Querying

大数据组件整理与总结 Organizing and Summarizing Big Data Components

2024-11-06 14:00:00

整理与总结目前了解到的大数据生态下的各类组件，进行生态位的划分和优缺点对比 This involves organizing and summarizing the various components within the big data ecosystem that are currently understood, categorizing them by their niches, and comparing their strengths and weaknesses.

Java&FlinkML实现在线线性回归 OnlineLinear Regression Implementation in Java and FlinkML

2024-09-24 16:00:00

Java和FlinkML线性回归的梯度下降实现，并自己实现一个支持在线学习的模型 Implementation of gradient descent in Java and FlinkML linear regression, along with a self-implemented model that supports online learning.

FlinkML实时流数据机器学习 FlinkML Real-time Stream Data Machine Learning

2024-09-20 16:00:00

通过FlinkML可实现”实时大数据+机器学习“的结合，本节给出一个实时流数据机器学习的例子 FlinkML enables the combination of "real-time big data + machine learning." This section provides an example of real-time stream data machine learning.

基于Flink流计算实现的股票交易实时资产应用 The Applications of Realtime Stock Trading Based on Implementation of Flink Streaming

2023-03-09 02:00:00

第四届实时计算Apache Flink挑战赛最佳实践奖 Best Practice Award in the 4th Real-Time Computing Apache Flink Challenge.