big-data-datawarehouse Goto Github PK

adfs

ADFS (Ali Distributed File System) is an evolutional version of Hadoop which delivers high availability, auick-restart and other features.

alluxio

Alluxio, formerly Tachyon, Unify Data at Memory Speed

apscheduler

Task scheduling library for Python

bigdata

hadoop,hbase,storm,spark,etc..

bitcask

because you need another a key/value storage engine

book

open-falcon document

coolplayspark

酷玩 Spark: Spark 源代码解析、Spark 类库等

crython

Lightweight task scheduler using cron expressions

datastructureandalgorithmsmadeeasyinjava

Data Structure And Algorithms Made Easy In Java

digandburied

挖坑与填坑

dima

simialrity join or search on spark core directly

dubbo

:loudspeaker: Dubbo is a distributed, high performance RPC framework enpowering applications with service import/export capabilities.

dynamodb-lock-client

The AmazonDynamoDBLockClient is a general purpose distributed locking library built on top of DynamoDB. It supports both coarse-grained and fine-grained locking.

falcon-plus

An open-source and enterprise-level monitoring system.

fluentd

Fluentd data collector (project under CNCF)

hadoop-compress

ZIP compression support for Hadoop

hadoop_common_fs_homework

SA_BIG_HOMEWORK

hbase-thrift-kerberos

HBase thrift和thrift2 python接口连接hbase

hibench

HiBench is a big data benchmark suite.

ignite

Mirror of Apache Ignite

ignite-book-code-samples

All code samples, scripts and more in-depth examples for the book high performance in-memory computing with Apache Ignite.

isa-l

Intelligent Storage Acceleration Library

java-expr-eval

Simple Java library to evaluate math expressions.

java-redis-rdb

Parse Redis dump.rdb file

joboptimizer-v1.0

krb-thrift

Example to pass Kerberos credentials over Thrift

mapdb

MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.

markdown_pic

warehouse for Markdown pics

mongo-python-driver

PyMongo - the Python driver for MongoDB

parquet-format

As we have moved to Apache, please open your pull requests on: https://github.com/apache/parquet-format