Pinned Repositories
EasyScheduler
Easy Scheduler是一个分布式工作流任务调度系统，主要解决数据研发ETL错综复杂的依赖关系，而不能直观监控任务健康状态等问题。Easy Scheduler以DAG流式的方式将Task组装起来，可实时监控任务的运行状态，同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。EasyScheduler由在工作流调度方面工作多年的多位小伙伴研发而成，致力于成为大数据平台的中流砥柱，使调度变得更加容易，更可以从其中文名“易调度”看出我们的初衷，如果你对目前市面上的调度不够满意，非常欢迎使用易调度，欢迎大家加入进来，提出需求，也欢迎贡献代码
flink
Apache Flink
God-Of-BigData
大数据面试题，大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
hbase
Mirror of Apache HBase
Java-Interview-Advanced
中华石杉--互联网Java进阶面试训练营
starrocks
StarRocks is a next-gen sub-second MPP database for full analysis senarios, including multi-dimensional analytics, real-time analytics and ad-hoc query, formerly known as DorisDB.
streamx
Make Flink|Spark easier!!! 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.
CodeGeeX2
CodeGeeX2: A More Powerful Multilingual Code Generation Model
harveysun's Repositories
harveysun/EasyScheduler
Easy Scheduler是一个分布式工作流任务调度系统，主要解决数据研发ETL错综复杂的依赖关系，而不能直观监控任务健康状态等问题。Easy Scheduler以DAG流式的方式将Task组装起来，可实时监控任务的运行状态，同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。EasyScheduler由在工作流调度方面工作多年的多位小伙伴研发而成，致力于成为大数据平台的中流砥柱，使调度变得更加容易，更可以从其中文名“易调度”看出我们的初衷，如果你对目前市面上的调度不够满意，非常欢迎使用易调度，欢迎大家加入进来，提出需求，也欢迎贡献代码
harveysun/flink
Apache Flink
harveysun/God-Of-BigData
大数据面试题，大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
harveysun/hbase
Mirror of Apache HBase
harveysun/Java-Interview-Advanced
中华石杉--互联网Java进阶面试训练营
harveysun/starrocks
StarRocks is a next-gen sub-second MPP database for full analysis senarios, including multi-dimensional analytics, real-time analytics and ad-hoc query, formerly known as DorisDB.
harveysun/streamx
Make Flink|Spark easier!!! 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.