572 Open source projects that are alternatives of or similar to Pucket

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.

⛈️ 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

零基础学习spark，大数据学习

Iceberg is a table format for large, slow-moving tabular data

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

Big Data for Data Engineers Coursera Specialization from Yandex

Optimized Analytics Package for Spark* Platform

Big Data Ecosystem Docker

A complete (distributed) BigData stack, running in containers

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

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

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。

Code examples for my blog posts

🎯 🌟[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 SQL index for Parquet tables

How to use Parquet in Flink

Minikube for big data with Scala and Spark

A cross-platform (Windows, MAC, Linux) desktop application to view common bigdata binary format like Parquet, ORC, AVRO, etc. Support local file system, HDFS, AWS S3, Azure Blob Storage ,etc.

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

大数据入门指南 ⭐

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.

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

Parquet file generator

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

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

Real Time Analytics and Data Pipelines based on Spark Streaming

A pure python HDFS client

Java client to connect directly to Impala using thrift

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

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

基于thrift的服务注册和发现框架

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

high performance service framework based on Yaf or Swoole

Apache Parquet

Spark (http://sparkjava.com/) support for Swagger (https://swagger.io/)

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

A connector for Spark that allows reading and writing to/from Redis cluster

按知识领域整理面试题，包括C++、Java、Hadoop、机器学习等

Urho3D extension library

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

R interface for Apache Spark

A Flexible and Powerful Parameter Server for large-scale machine learning

Scala toolchain for InfluxDB

学习记录的一些笔记，以及所看得一些电子书eBooks、视频资源和平常收纳的一些自己认为比较好的博客、网站、工具。涉及大数据几大组件、Python机器学习和数据分析、Linux、操作系统、算法、网络等

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

Training models with Apache Spark, PySpark for Titanic Kaggle competition

A simple Spark TDD example

CTR prediction model based on spark(LR, GBDT, DNN)

hadoop各组件使用，持续更新

Java Convolutional Neural Network example for Hand Writing Digit Recognition

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.

A Thrift parser/generator

High performance HBase / Spark SQL engine

A Time Series Library for Apache Spark

Feature engineering toolkit for Spark MLlib.

A library on top of either pex or conda-pack to make your Python code easily available on a cluster

Expressive types for Spark.

Scalable genomic data analysis.