Search Results for "hadoop project"
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Showing 18 open source projects for "hadoop project"
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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/ -
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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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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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..., 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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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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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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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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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... -
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Hadoop is a great project for deep analytics based on the MapReduce features. It also includes a powerful distributed file system designed to ensure that the analytics workloads can locally access the data to be processed to minimize the network bandwidth impact. I found this filesystem very useful to leverage storage from all my PCs and even from some of my online storage such as S3. However i did not want to deploy the full hadoop stack. Hence my decidion to create a standalone...
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Hadoop Network Topology
Network Topology Discovery and Hardware Failure Detection in Hadoop
The project involves detection of hardware failures and discovery of the network topology within the Hadoop cluster.The application developed in this project, col- lects various network and hardware components information from all the Datanodes and analyses them to detect the network failures, CPU and Harddisk failures. -
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A framework for simulating multi-agents applications on a Hadoop cluster. The project is under development and improvements in execution time has been achieved since its first version.
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The objective of this project is to investigate tRNA misacylation and its translational impact. I will be using Hadoop on the Brown University computing cluster.
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