1595 Open source projects that are alternatives of or similar to Pulsar Spark

Elastic data processing with Apache Pulsar and Apache Flink

A list about Apache Kafka

Streaming System 相关的论文读物

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Some class materials for a data processing course using PySpark

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

Interactive and Reactive Data Science using Scala and Spark.

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

Fast Data Cluster (Apache Cassandra, Kafka, Spark, Flink, YARN and HDFS with Vagrant and VirtualBox)

Spark structured streaming examples with using of version 3.0.0

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

This application comes as Spark2.1-as-Service-Provider using an embedded, Reactive-Streams-based, fully asynchronous HTTP server

Apache Flink connectors for Pravega.

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Apache Spark in your IDE with gradle

Natural Korean Processor for Apache Spark

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

The Internals of Spark Structured Streaming

Distributed scikit-learn meta-estimators in PySpark

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.

Haskell on Apache Spark.

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

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.

Example project implementing best practices for PySpark ETL jobs and applications.

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

This repository contains the code base for the Open Stream Processing Benchmark.

Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/

The Proxima platform.

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

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 .

SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.

Repository for integration with Apache Kafka

深圳地铁大数据客流分析系统🚇🚄🌟

Cloudflow enables users to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes.

酷玩 Spark: Spark 源代码解析、Spark 类库等

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

R interface for Apache Spark

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

Efficient variant-call data storage and retrieval library using the TileDB storage library.

A Scala feature transformation library for data science and machine learning

Experiments with Apache Flink.

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.

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 end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

Spark examples

大数据生态解决方案数据平台：基于大数据、数据平台、微服务、机器学习、商城、自动化运维、DevOps、容器部署平台、数据平台采集、数据平台存储、数据平台计算、数据平台开发、数据平台应用搭建的大数据解决方案。

🎯 🌟[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

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.

This is an example of real time stream processing using Spark Streaming, Kafka & Elasticsearch.

Distributed Stream and Batch Processing

Easy CPU Profiling for Apache Spark applications

The Internals of Apache Spark

Koalas: pandas API on 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.

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.