687 Open source projects that are alternatives of or similar to Iceberg

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

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

Apache-Spark based Data Flow(ETL) Framework which supports multiple read, write destinations of different types and also support multiple categories of transformation rules.

Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API.

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

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

Waimak is an open-source framework that makes it easier to create complex data flows in Apache Spark.

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。

Data Lineage Tracking And Visualization Solution

WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community. WeDataSphere, Big Data Made Easy!

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

Extended datasource support for Spark/Hadoop on Aliyun E-MapReduce.

Big Data Ecosystem Docker

A Docker container with a full Hadoop cluster setup with Spark and Zeppelin

A Spark cluster setup running on Docker containers

Cookbook to install Hadoop 2.0+ using Chef

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

Production Ready Data Integration Product, documentation：

extremely distributed machine learning

Avro SerDe for Apache Spark structured APIs.

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

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

A collection of Apache Parquet add-on modules

A tool for data sampling, data generation, and data diffing

Avro Schema Evolution made easy

The Hadoop ETL UDFs are the main way to load data from Hadoop into EXASOL

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

Building Large-Scale AI Applications for Distributed Big Data

A big data platform for analyzing web access logs

零基础学习spark，大数据学习

Bucketing and partitioning system for Parquet

🚢 Docker image for Apache Spark

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Optimized Analytics Package for Spark* Platform

MapReduce, Spark, Java, and Scala for Data Algorithms Book

Spark SQL index for Parquet tables

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

大数据入门指南 ⭐

Create clusters of VMs on the cloud and configure them with Ansible.

按知识领域整理面试题，包括C++、Java、Hadoop、机器学习等

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 .

How to use Parquet in Flink

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

Make record oriented data to columnar format.

Java开发者或者大数据开发者面试知识点整理

WASP is a framework to build complex real time big data applications. It relies on a kind of Kappa/Lambda architecture mainly leveraging Kafka and Spark. If you need to ingest huge amount of heterogeneous data and analyze them through complex pipelines, this is the framework for you.

基于Spark2.2新闻网大数据实时系统项目

A complete (distributed) BigData stack, running in containers

Code examples for my blog posts

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…

🎼 Docker compose files for various kafka stacks

Code Library for My Blog

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

low-level helpers for Apache Spark libraries and tests

Basin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser

50+ DockerHub public images for Docker & Kubernetes - Hadoop, Kafka, ZooKeeper, HBase, Cassandra, Solr, SolrCloud, Presto, Apache Drill, Nifi, Spark, Consul, Riak, TeamCity and DevOps tools built on the major Linux distros: Alpine, CentOS, Debian, Fedora, Ubuntu

🎯 🌟[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

Spark、Flink等离线任务的调度以及实时任务的监控

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