1099 Open source projects that are alternatives of or similar to Delta

ACID Data Source for Apache Spark based on Hive ACID

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

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

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.

❄️ 🐳 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

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

Real Time Analytics and Data Pipelines based on Spark Streaming

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.

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Big Data for Data Engineers Coursera Specialization from Yandex

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

CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.

Building Large-Scale AI Applications for Distributed Big Data

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Geo Spatial Data Analytics on Spark

Haskell on Apache Spark.

Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster

A Spark cluster setup running on Docker containers

A simple Spark-powered ETL framework that just works 🍺

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

Feature Store for Machine Learning

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

An encrypted data analytics platform

Julia binding for Apache Spark

Apache Spark on AWS Lambda

A Clojure dataframe library that runs on Spark

Simple and Distributed Machine Learning

Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark

A simplified, lightweight ETL Framework based on Apache Spark

一个大数据架构师应该掌握的技能

Spark-Crawler: Apache Nutch-like crawler that runs 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.

Server for the ListenBrainz project

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

ClickHouse Native Protocol JDBC implementation

Apache Spark - A unified analytics engine for large-scale data processing

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

Apache Spark 官方文档中文版

A heterogeneous Apache Spark framework.

Apache Spark Website

Research on distributed system

ClickHouse® is a free analytics DBMS for big data

Enabling queries on compressed data.

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

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

📊 Cube — Open-Source Analytics API for Building Data Apps

Koalas: pandas API on Apache Spark

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

GeoTrellis for PySpark

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

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.

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

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

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

Easily make RESTful web services for time series reporting with Big Data analytics engines like Druid and SQL Databases.

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

大数据入门指南 ⭐

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

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 .

A complete (distributed) BigData stack, running in containers