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LarkMidTable 是一站式开源的数据中台,实现元数据管理,数据仓库开发,数据质量管理,数据的可视化,实现高效赋能数据前台并提供数据服务的产品。

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LarkMidTable

License

English | 中文

LarkMidTable Chinese name Skylark, the cloud stands for big data, and the finch stands for the ordinary and freedom.

LarkMidTable is a one-stop open source data middle office that implements metadata management, data warehouse development, data quality management, data visualization, and achieves efficient data foreground and provides data services.

Stargazers over time

Product Vision

  1. Meet many small businesses and provide one-stop solutions.
  2. Make world-class products that can Google or Apple.
  3. Create value, generate value, and make the world a better place.

Architecture Diagram

系统架构图

Product Renderings

登陆页面

数据报表

基础建设

数据集成

数据开发

Product Features

function Features The database type Read type Write type
Data Integration Batch Mysql enable enable
PostgreSql enable enable
Mongodb enable enable
SqlServer enable enable
Oracle enable enable
SAPHana enable enable
ClickHouse enable enable
Hive enable
Hbase enable enable
Hdfs enable enable
ElasticSearch
Kudu
Redis
Real Kafka
MySQL Binlog
MongoDB Oplog
PostgreSQL WAL
Task logical scheduling scheduling enable enable

Get Started Quickly

Installation manual Installation manual

Operating manual Operating manual

Plugin Development Manual Plugin Development Manual

Fields of application

Smart campus, smart transportation, smart finance, smart agriculture, smart healthcare, smart government and other big data fields

Technological Exchanges

One person goes fast, a group of people go farther.

Pay attention to the WeChat public number [LarkMidTable], and reply to [LarkMidTable], after getting WeChat, add me to pull you to the WeChat group, and provide you with free services throughout the process, you can also communicate big data technology with other partners, if you think the project is good, you can star attention, LarkMidTable team will be very grateful for your attention!

About

LarkMidTable 是一站式开源的数据中台,实现元数据管理,数据仓库开发,数据质量管理,数据的可视化,实现高效赋能数据前台并提供数据服务的产品。

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  • Java 75.0%
  • HTML 22.5%
  • Shell 1.2%
  • CSS 1.1%
  • Python 0.1%
  • JavaScript 0.1%