zcw5116 Goto Github PK

phoenix-on-spark

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。

rdf-converter

convert rdf format data into the format which nebula-importer reads

scala-best-practices

A collection of Scala best practices

shc

The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink.

shirukai.github.io

My Blog

spark-3.0-examples

Examples of Spark 3.0

spark-avro

Avro support for Spark, SQL, and DataFrames

spark-binlog

A library for querying Binlog with Apache Spark structure streaming, for Spark SQL , DataFrames and [MLSQL](https://www.mlsql.tech).

spark-clickhouse-example

An example of connecting Spark to ClickHouse via RowBinaryStream

spark-hbase

A HBase datasource implementation for Spark and [MLSQL](http://www.mlsql.tech).

spark-jobserver

REST job server for Apache Spark

spark-redis

A connector for Spark that allows reading and writing to/from Redis cluster

spark-sandbox

A playground for Spark jobs.

spark-scala-playground

Sample processing code using Spark 2.1+ and Scala

spark-structured-datasource

Custom datasource about spark structure streaming

spark-structured-streaming-book

The Internals of Spark Structured Streaming

spark2-hbase

spark2.0-examples

Examples of Spark 2.0

streaming-offset-to-zk

一个手动管理spark streaming集成kafka时的偏移量到zookeeper中的小项目

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.

waterdrop

生产环境的海量数据计算产品，文档地址：

webclickmr

Website click stream project: mainly used for MR program in the server side the website click stream data collection carries on the preliminary processing provide data support for the underlying table data warehouse (ODS) of the upper layer and the table).Here is realized with the raw data from the server side for cleaning, then generate the corresponding ODS data warehouse to stick the original layer of the original data to build the data table (subsequent) from the original data generated by MR program Pageview data table and Visit table used for data analysis

yarn-beginners-examples

Yarn example source code accompanying wikibooks "Beginning Hadoop Programming" by Jaehwa Jung

zcw5116.github.io