1035 Open source projects that are alternatives of or similar to Sparkrdma

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

大数据入门指南 ⭐

Fundamentals of Spark with Python (using PySpark), code examples

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

Code Library for My Blog

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

Hadoop Crypto Ledger - Analyzing CryptoLedgers, such as Bitcoin Blockchain, on Big Data platforms, such as Hadoop/Spark/Flink/Hive

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

Simple and Distributed Machine Learning

Splash, a flexible Spark shuffle manager that supports user-defined storage backends for shuffle data storage and exchange

Building Large-Scale AI Applications for Distributed Big Data

Apache Spark Course Material

ArcGIS GeoEvent Server sample Hadoop connector for storing GeoEvents in HDFS.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A complete (distributed) BigData stack, running in containers

A large-scale entity and relation database supporting aggregation of properties

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Apache Spark on AWS Lambda

Data Lineage Tracking And Visualization Solution

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

Griffon Data Science Virtual Machine

一个大数据架构师应该掌握的技能

C# and F# language binding and extensions to Apache Spark

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

Java开发者或者大数据开发者面试知识点整理

🎯 🌟[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

A Spark cluster setup running on Docker containers

Educational notes,Hands on problems w/ solutions for hadoop ecosystem

A high-performance, scalable and efficient ShuffleManager plugin for Apache Spark, utilizing UCX communication layer

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Big Data for Data Engineers Coursera Specialization from Yandex

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

A framework for writing Spark 2.x applications in a pretty way

Custom state store providers for Apache Spark

实践源码库：https://github.com/jast90/bigdata 。 微信搜索Jast关注公众号，获取最新技术分享😯。

Cookbook to install Hadoop 2.0+ using Chef

个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

ROOT I/O in pure Python and NumPy.

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

Source code for James Lee's Aparch Spark with Java course

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Applying Lambda Architecture with Spark, Kafka, and Cassandra.

Production Ready Data Integration Product, documentation：

Distributed Big Data Orchestration Service

Two-day workshop that covers how to use R to interact databases and Spark

extremely distributed machine learning

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Apache Drill is a distributed MPP query layer for self describing data

A pandas-like deferred expression system, with first-class SQL support

HDFS Shell is a HDFS manipulation tool to work with functions integrated in Hadoop DFS

A simple Spark-powered ETL framework that just works 🍺

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Asakusa Framework