226 Open source projects that are alternatives of or similar to centurion

Make record oriented data to columnar format.

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.

Big Data Technology Index

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

Measuring the performance of popular streaming engines with Yahoo's Streaming Benchmark

HadoopOffice - Analyze Office documents using the Hadoop ecosystem (Spark/Flink/Hive)

tools for bigData

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Taller SparkR para las Jornadas de Usuarios de R

Amas is recursive acronym for “Amas, monitor alert system”.

Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que busca difundir, descentralizar y difundir los conocimientos en Ciencia de Datos e Inteligencia Artificial en el Perú, dando oportunidades a nuevos talentos mediante MeetUps, Workshops y Semilleros …

A collection of Apache Parquet add-on modules

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

Documentation placeholder and utilities for all the other containers.

Tidy up Spark and Hadoop tutorials.

用Python爬取安居客房源信息，并用高德地图进行可视化

This is a learning note | Java基础，JVM，源码，大数据，面经

Native Julia I/O package to work with CERN ROOT files

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

可视化大屏解决方案, 提供一套可视化编辑引擎, 助力个人或企业轻松定制自己的可视化大屏应用.

大数据采集,抽取平台

Julia implementation of Parquet columnar file format reader

SQL Parsers for BigData, built with antlr4.

Apache Spark Course Material

Short course on interactive analysis of Big Earth Data with Jupyter Notebooks

Python module for Apache ORC file format

大数据学习笔记，学习路线，技术案例整理。

A command line tool to query an ODBC data source and write the result into a parquet file.

A custom extractor designed to read parquet for Azure Data Lake Analytics

Collection of Databricks and Jupyter Notebooks

an open source dataworks platform

Flink: Stateful Computations over Data Streams

Apache Spark is a fast, in-memory data processing engine with elegant and expressive development API's to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets.This project will have sample programs for Spark in Scala language .

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

Python package to manage Google Cloud Data Catalog tags, loading metadata from external sources -- currently supports the CSV file format

Exposure是一个帮助做曝光统计需求的库，可以很方便的对曝光事件进行埋点，在现有代码上少量侵入即可实现曝光埋点。支持RV的线性布局、网格布局、瀑布流布局、横向滑动RV，ScrollView等各种滚动布局。支持配置item的有效曝光面积。

This code creates a Kinesis Firehose in AWS to send CloudWatch log data to S3.

📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.

大数据生态圈学习

An Apache Spark standalone application using the Spark API in Scala. The application uses Simple Build Tool(SBT) for building the project.

Multi docker container images for main Big Data Tools. (Hadoop, Spark, Kafka, HBase, Cassandra, Zookeeper, Zeppelin, Drill, Flink, Hive, Hue, Mesos, ... )

异构存储数据迁移

All code samples, scripts and more in-depth examples for The Apache Ignite Book. Include Apache Ignite 2.6 or above

Data syncing in golang for ClickHouse.

A pure Java HDF5 library

The simplest tool to manage views of BigQuery.

Albis: High-Performance File Format for Big Data Systems

A curated list of awesome big data frameworks, ressources and other awesomeness.

bigdata note

Workspace for China local user group.

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

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.

Масштабируемое машинное обучение и анализ больших данных с Apache Spark

Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow

TiDB connectors for Flink/Hive/Presto

Learning Flink : Flink CEP,Flink Core,Flink SQL

学习笔记

Code examples for my blog posts

GraphQL service for arrow tables and parquet data sets.

Love your Data. Love the Environment. Love VULKИ.