Search Results for "hadoop project"
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Showing 36 open source projects for "hadoop project"
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OpManager the network monitoring software used by over 1 million IT adminsManageEngine OpManager is a powerful network monitoring software that provides deep visibility into the performance of your routers, switches, firewalls, load balancers, wireless LAN controllers, servers, VMs, printers, and storage devices. It is an easy-to-use and affordable network monitoring solution that allows you to drill down to the root cause of an issue and eliminate it.
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Apache Bigtop
Bigtop is an Apache Foundation project for Infrastructure Engineers
Apache Bigtop is a project focused on building and packaging the Hadoop ecosystem and related big data components. It provides a consistent framework for testing, packaging, and deploying Hadoop distributions, including tools like HDFS, YARN, Spark, Hive, HBase, and more. By maintaining cross-platform builds (RPMs, DEBs, Docker images, and Kubernetes support), Bigtop makes it easier for organizations to deploy big data stacks in different environments. It also includes a set of integration... -
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SeaweedFS
Distributed storage system for blobs, objects, files, and data lake
SeaweedFS is a distributed storage system for blobs, objects, files, and data lake, to store and serve billions of files fast! Blob store has O(1) disk seek, local tiering, cloud tiering. Filer supports cross-cluster active-active replication, Kubernetes, POSIX, S3 API, encryption, Erasure Coding for warm storage, FUSE mount, Hadoop, WebDAV. SeaweedFS is an independent Apache-licensed open source project with its ongoing development made possible because of the community. SeaweedFS is a simple... -
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SZT-bigdata
SZT‑bigdata is an open source project
SZT‑bigdata is an open-source project analyzing real Shenzhen metro (subway) card usage data using big‑data frameworks like Spark, Hadoop, Hive, Kafka, Flink, ClickHouse, HBase, and Elasticsearch. Aimed at exploring transit passenger flow patterns and system optimization using a variety of Scala-based technologies. -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
..., Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/ -
Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip... -
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
.... Instead, MarDRe takes advantage of the MapReduce programming model to significantly improve ParDRe performance on distributed systems, especially on cloud-based infrastructures. Written in pure Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for Big Data processing. -
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X-RIME is a open source project devoted to provide Hadoop based solution for large scale social network analysis.
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HareDB HBase Client
GUI Tools for HBase (including PIG and high speed Hive Query)
Most people are not familiar with command mode. However, there is only command mode in the world of Hadoop and HBase. For the reason above, we are focusing on developing a set of tools, “HBase Client”, which can be used more easily and having a more friendly interface. -
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RSS Atom Feed Analytics With MapReduce
This is a data analytics project for RSS feeds using hadoop MapReduce
This project accepts the output of jatomrss project as the input. It applies the MR logic on the same to perform the analytics -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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..., available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. The command line tools of Hadoop-BAM should be understandable to all users, but they are limited in scope. See the SeqPig project for a higher-level interface to the file formats supported by Hadoop-BAM: http://seqpig.sourceforge.net See Seal for Hadoop-based read alignment tools, Seal: http://biodoop-seal.sourceforge.net
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Hadoop
Use Hadoop in Scientific Workflows
This project provides with an application to integrate Hadoop with WS-PGRADE workflows. It uses Openstack cloud to create user specified Hadoop clusters and execute jobs. -
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ankus
Data Mining and Machine Learning Algorithms based on MapReduce
[The feature of ankus] * ankus is a 'web-based big data mining project and tool'. - MapReduce-based data mining/machine learning algorithms library - Hadoop-based distributed bigdata system - offering a web-based GUI for easy use [The ankus project & License] * The ankus project consists of three as an open source. * ankus has Dual licensed under the community and commercial licenses. * community license is following GPLv3 - Some algorithms in Core Project do... -
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hmrjp-maven-plugin
Hadoop mapreduce maven plugin
hmrjp-maven-plugin is a maven plugin which helps creating, running and verifying hadoop mapreduce jobs remotely just like any other java project which is built using maven. -
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Flamingo Project
Workflow Designer, Hive Editor, Pig Editor, File System Browser
Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce. -
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Volt
Volt is pure JAVA NGS mapping soft which run on Hadoop 2.0 env
The project move to VoltMR http://voltmr.sourceforge.net -
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Cascalog
Data processing on Hadoop without the hassle
Cascalog is a powerful Clojure (and Java) data processing and querying library built atop Hadoop (via Cascading), providing a high-level, Datalog-inspired abstraction for both big data processing and local computation. Cascalog is hosted at Clojars, and some of its dependencies are hosted at Conjars. Both Clo/Con-jars are maven repos that's easy to use with maven or leiningen. The Cascalog website contains more information and links to Various articles and tutorials. The best way to get started... -
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Aspose for Hadoop
This project holds source code for Aspose for Hadoop project.
Aspose for Hadoop project enables Apache Hadoop / MapReduce developers to work with various binary file formats. The developers can create and convert binary sequence files into text sequence files. -
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HDFSFileTransfer
File transfer from local FS to HDFS
The HDFSFileTransfer project was created and developed to ease Hadoop users quickly copying varied files such as: flat, structured, unstructured, big and small from linux to Hadoop File System (HDFS). It allows users to transfer files: - within the same physical machine - from local file system (linux) into HDFS - between two physical machines - copy files from local file system (linux) with HDFS cluster installed to another HDFS cluster. Sample - one can have two single clustered Hadoop... -
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BIRT Report Designer
Open Source Reporting & Data Visualization Platform
.... With a flexible Open Data Access framework, developers can write custom data drivers to access data from any source, including Big Data sources like Apache Hadoop, Cassandra, and MongoDB, along with all traditional relational databases, Flat Files, XML data streams, and data stored in proprietary systems. Built for embedding, BIRT includes APIs for data access, chart generation, output formats, content execution, and integration within larger applications. -
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Crowbar
A complete operations platform to deploy, maintain and scale clusters.
The Crowbar Project is an effort to build a complete, easy to use operational platform for everyone. It allows for any number of physical nodes to be moved from bare-metal to production cluster within hours. Specific applications include (but are not limited to) Hadoop and OpenStack. -
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Jxtadoop
This project aims to provide P2P capabilities with Hadoop DFS.
Hadoop is designed to work in large datacenters with thousands of servers connected to each others in the Hadoop cloud. This project focuses on the Distributed File System part of Hadoop (HDFS). The goal of this project is to provide an alternative to direct IP connectivity required for Hadoop. Instead, the DFS layer has been modified to use a Peer-2-Peer framework which allows direct connectivity in datacenters as well as indirect connectivity to bypass firewall constraints. The typical... -
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testHadoop
Project to work with binary files on hadoop
Aspose for Hadoop will enable hadoop developers to work with binary file formats on Hadoop by converting binary sequence files into text sequence files. -
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JUMMP
JUMMP: Job Uninterrupted Maneuverable MapReduce Platform
JUMMP is an automated scheduling platform that provides a customized Hadoop environment within a batch-scheduled cluster environment. JUMMP enables an interactive pseudo-persistent MapReduce platform within the existing administrative structure of an academic high performance computing center by “jumping” between nodes with minimal administrative effort. Jumping is implemented by the synchronization of stopping and starting daemon processes on different nodes in the cluster. Use...