Pinned Repositories
big-whale
Spark、Flink等离线任务的调度以及实时任务的监控
Burrow
Kafka Consumer Lag Checking
cloud
datacap
DataCap is integrated software for data transformation, integration and visualization. Demo：http://139.198.158.103:9096/ admin/12345678 datacap/12345678
dlink
A FlinkSQL studio and real-time computing platform based on Apache Flink
eagle
Mirror of Apache Eagle
incubator-athena
Athena (incubating) is a high performance user behavior analysis system.
incubator-gcm
Google Guice component management System!
incubator-imonitor
iMonitor是一套服务，资源监控系统。测试地址：http://imonitor.cc 账号/密码：imonitor@imonitor.cc/imonitor
wplay
why198852's Repositories
why198852/incubator-athena
Athena (incubating) is a high performance user behavior analysis system.
why198852/incubator-gcm
Google Guice component management System!
why198852/incubator-imonitor
iMonitor是一套服务，资源监控系统。测试地址：http://imonitor.cc 账号/密码：imonitor@imonitor.cc/imonitor
why198852/wplay
why198852/big-whale
Spark、Flink等离线任务的调度以及实时任务的监控
why198852/Burrow
Kafka Consumer Lag Checking
why198852/cloud
why198852/datacap
DataCap is integrated software for data transformation, integration and visualization. Demo：http://139.198.158.103:9096/ admin/12345678 datacap/12345678
why198852/dlink
A FlinkSQL studio and real-time computing platform based on Apache Flink
why198852/eagle
Mirror of Apache Eagle
why198852/elasticsearch
Open Source, Distributed, RESTful Search Engine
why198852/fire-spark
Spark 脚手架工程，标准化 spark 开发、部署、测试流程。
why198852/flink
Apache Flink
why198852/flinkStreamSQL
基于开源的flink，对其实时sql进行扩展；主要实现了流与维表的join，支持原生flink SQL所有的语法
why198852/flinkx
基于flink的分布式数据同步工具
why198852/incubator-dbm
ClickHouse DataBase Manager Tools
why198852/incubator-hqjl
Apache Druid Query QL From JSON
why198852/incubator-trending
数据热点
why198852/kafka-manager
扩展了对Hbase存储Offset的支持
why198852/streamx
Make stream processing easier! Flink & Spark development scaffold, The original intention of StreamX is to make the development of Flink easier. StreamX focuses on the management of development phases and tasks. Our ultimate goal is to build a one-stop big data solution integrating stream processing, batch processing, data warehouse and data laker.
why198852/tools
hadoop hand tools