ramch22's repositories
apscheduler
Task scheduling library for Python
Awesome-Linux-Software
A list of awesome applications, software, tools and other materials for Linux distros.
awesome-search
Awesome Search - this is all about the (e-commerce) search and its awesomeness
azkaban
Azkaban workflow manager.
azure-kusto-java
Microsoft Azure Kusto Library for Java
cpbook-code
CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml)
God-Of-BigData
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
hotchocolate
Welcome to the home of the Hot Chocolate GraphQL server for .NET, the Strawberry Shake GraphQL client for .NET and Banana Cake Pop the awesome Monaco based GraphQL IDE.
incubator-pinot
Apache Pinot (Incubating) - A realtime distributed OLAP datastore
jsoneditor
A web-based tool to view, edit, format, and validate JSON
Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
LogDevice
Distributed storage for sequential data
maxwell
Maxwell's daemon, a mysql-to-json kafka producer
Miscellaneous
Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.
node_exporter
Exporter for machine metrics
pdfs
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
reactive-streams-jvm
Reactive Streams Specification for the JVM
RxJava
RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
sparkMeasure
This is the development repository of SparkMeasure, a tool for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark task metrics data.
streamline
StreamLine - Streaming Analytics
tensorflow
An Open Source Machine Learning Framework for Everyone