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apollo icon apollo

Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。

dataworker-sql-parser icon dataworker-sql-parser

基于antlr4 解析器,支持spark sql, tidb sql, flink sql, Spark/flink jar 运行命令解析器

davinci icon davinci

Davinci is a DVsaaS (Data Visualization as a Service) Platform

exchangis icon exchangis

Exchangis is a lightweight,highly extensible data exchange platform that supports data transmission between structured and unstructured heterogeneous data sources

hugegraph icon hugegraph

HugeGraph Database core component, including graph engine, API, and built-in backends

javaguide icon javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

jsqlparser icon jsqlparser

JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern

kafka-eagle icon kafka-eagle

A easy and high-performance monitoring system, as well as offsets or metadata and other kafka information.

kafkaoffsetmonitor icon kafkaoffsetmonitor

A little app to monitor the progress of kafka consumers and their lag wrt the queue.

linkis icon linkis

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

py12306 icon py12306

🚂 12306 购票助手,支持分布式,多账号,多任务购票以及 Web 页面管理

qualitis icon qualitis

Qualitis is a one-stop data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. https://github.com/WeBankFinTech/Qualitis

spark icon spark

Apache Spark - A unified analytics engine for large-scale data processing

wedatasphere icon wedatasphere

WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community.

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