Pinned Repositories
apache-spark-internals
The Internals of Apache Spark
ApacheSparkBook
azkaban_examples
Simple examples of Azkaban worklflows, including AzkabanCLI
blog
My Blog
blog-1
Source code of Blog at
DpiNew
IOT
iotnew
IOTProject
init
Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
zcw5116's Repositories
zcw5116/DpiNew
zcw5116/iotnew
zcw5116/apache-spark-internals
The Internals of Apache Spark
zcw5116/ApacheSparkBook
zcw5116/blog-1
Source code of Blog at
zcw5116/ClickHouse
ClickHouse is a free analytics DBMS for big data
zcw5116/ClickHouse-Native-JDBC
ClickHouse Native Protocol JDBC implementation
zcw5116/delta-lake-internals
The Internals of Delta Lake
zcw5116/drawIO
zcw5116/flinkx
Based on Apache Flink. support data synchronization/integration and streaming SQL computation.
zcw5116/havenask
zcw5116/jieba
结巴中文分词
zcw5116/logstash
Logstash - transport and process your logs, events, or other data
zcw5116/maxwell
Maxwell's daemon, a mysql-to-json kafka producer
zcw5116/mysql-clickhouse-replication
用于从mysql增量同步数据到clickhouse
zcw5116/new-pac
科学上网/自由上网/翻墙/软件/方法，免费shadowsocks/ss/ssr/v2ray/goflyway账号，vps一键搭建脚本/教程
zcw5116/rdf-converter
convert rdf format data into the format which nebula-importer reads
zcw5116/shc
The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink.
zcw5116/shirukai.github.io
My Blog
zcw5116/spark-3.0-examples
Examples of Spark 3.0
zcw5116/spark-binlog
A library for querying Binlog with Apache Spark structure streaming, for Spark SQL , DataFrames and [MLSQL](https://www.mlsql.tech).
zcw5116/spark-clickhouse-example
An example of connecting Spark to ClickHouse via RowBinaryStream
zcw5116/spark-hbase
A HBase datasource implementation for Spark and [MLSQL](http://www.mlsql.tech).
zcw5116/spark-redis
A connector for Spark that allows reading and writing to/from Redis cluster
zcw5116/spark-scala-playground
Sample processing code using Spark 2.1+ and Scala
zcw5116/spark-structured-streaming-book
The Internals of Spark Structured Streaming
zcw5116/spark2-hbase
zcw5116/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.
zcw5116/waterdrop
生产环境的海量数据计算产品，文档地址：
zcw5116/zcw5116.github.io