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Tenghuan He's Projects

killrweather icon killrweather

KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming, Apache Cassandra, Apache Kafka and Akka for fast, streaming computations on time series data in asynchronous event-driven environments.

kvell icon kvell

KVell: the Design and Implementation of a Fast Persistent Key-Value Store

learning-notes icon learning-notes

Notes on books I read, talks I watch, articles I study, and papers I love

maelstrom icon maelstrom

A workbench for writing toy implementations of distributed systems.

matchmaker icon matchmaker

Pattern matching for Java with typesafe captures and extractors

mvnexec icon mvnexec

bash script to find and execute java classes with main methods

mx icon mx

Command-line tool used for the development of Graal projects.

nginx icon nginx

Complete (unofficial) history of nginx releases

ozone icon ozone

Scalable, redundant, and distributed object store for Apache Hadoop

pilosa icon pilosa

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.

pinot icon pinot

A realtime distributed OLAP datastore

postgresforeigndatawrapper icon postgresforeigndatawrapper

It is the first foreign data wrapper (FDW) introducing LSM-tree into PostgreSQL. The underneath storage engine is RocksDB. The FDW also serves for VidarDB, a polymorphic storage engine for various workloads. See the link for more info about VidarDB.

prmlt icon prmlt

Pattern Recognition and Machine Learning Toolbox

pulsar icon pulsar

Apache Pulsar - distributed pub-sub messaging system

pycopy icon pycopy

Pycopy - a minimalist and memory-efficient Python implementation. Good for desktop, cloud, constrained systems, microcontrollers, and just everything.

pyemotiv icon pyemotiv

A Python library for data acquisition from the Emotiv Epoc EEG headset, using the research SDK.

root icon root

The official repository for ROOT: analyzing, storing and visualizing big data

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