397 Open source projects that are alternatives of or similar to spark-demos

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

REST job server for Apache Spark

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

Apache Spark in your IDE with gradle

人生苦短 我用Python

Ruby wrapper for Apache Spark

An extensive non-reactive Typescript framework that eases the development experience in Spark AR

A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX.

Java开发者或者大数据开发者面试知识点整理

Online search advertisement platform & Realtime Campaign Monitoring [Maybe Deprecated]

Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)

Apache Spark docker container image (Standalone mode)

Python clone of Spark, a MapReduce alike framework in Python

Identifies and collects data on cc-licensed content across web crawl data and public apis.

☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs

Spark Shuffle Optimization with RDMA+AEP

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My presentation at ODSC India 2018 about Deep Learning with Apache Spark

A Spark plugin for reading Excel files via Apache POI

Visualize column-level data lineage in Spark SQL

Spark, Spark Streaming and Spark SQL unit testing strategies

Code examples for my blog posts

Spark functions to run popular phonetic and string matching algorithms

Simple and Distributed Machine Learning

Autoscaling for Google Cloud Dataproc

Koalas: pandas API on Apache Spark

🎼 Docker compose files for various kafka stacks

A daily digest of the articles or videos I've found interesting, that I want to share with you.

Code Library for My Blog

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.

Framework of vectorized and distributed data analytics

Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs

low-level helpers for Apache Spark libraries and tests

Book recommender system using collaborative filtering based on Spark

Apache Spark Sentry Integration

基于Docker构建的Hadoop开发测试环境，包含Hadoop，Hive，HBase，Spark

Some class materials for a data processing course using PySpark

The Internals of Spark SQL

TPC-H queries in Apache Spark SQL using native DataFrames API

Applying Data Science and Machine Learning to Solve Real World Business Problems

Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI platform on Apache Spark.

Apache Spark™ and Scala Workshops

ACID Data Source for Apache Spark based on Hive ACID

A Spark library for Amazon SageMaker.

Open-source distribute workflow schedule tools, also support streaming task.

Big Data Processing Framework - Unified Data API or SQL on Any Storage

基于Spark2.2新闻网大数据实时系统项目

MLOps Platform

Resources for Spark AR

k-Nearest Neighbors algorithm on Spark

A parallel implementation of word2vec based on Spark

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

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

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

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 .

spark on kubernetes

Implementation of Fellegi-Sunter's canonical model of record linkage in Apache Spark, including EM algorithm to estimate parameters