Search Results for "data capture framework"
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Showing 7 open source projects for "data capture framework"
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LakeSoul
An end-to-end, realtime and cloud native Lakehouse framework
LakeSoul is a high-performance, unified table storage framework for big data lakes, supporting both streaming and batch data in a single format. Built on top of Apache Spark and leveraging Apache Arrow and Parquet, LakeSoul provides ACID transactions, schema evolution, and time travel. It is designed for large-scale data lake architectures that require consistency, efficiency, and easy integration with modern data stacks. -
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jfBackup
Enterprise Tape Backup Solution (Windows Server 2008R2+)
...Features: - Volume Shadow Backups (backup open files) - Full Backups of Remote and Local Volumes (client/server model) - Tape Changer (multi-tape backups w/ barcode reader support) - software compression (zlib) - email notification Not Supported (yet): - Incremental Backups - Image Backups (bare-metal restores) - SQL Backups (volume shadow backup should capture SQL data in restorable state) - File Meta Data (file attributes, ACLs, etc.) - Restore in place (restored files need to be moved back into place) -
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Digital Preservation Recorder
NO LONGER MAINTAINED
NO LONGER MAINTAINED, NO LONGER SUPPORTED The Digital Preservation Recorder (DPR) has been developed by the National Archives of Australia to manage a digital preservation workflow. It features antivirus integration and makes use of the Xena framework for preservation conversions of data objects -
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Sesame
Java RDF Framework
This project is no longer actively maintained. It is succeeded by the Eclipse RDF4J project, which can be found at GitHub and at http://www.rdf4j.org/. Sesame is a de-facto standard framework for processing RDF data. This includes parsing, scalable storage, reasoning and full SPARQL 1.1 query/update support. Sesame offers a fully modular toolkit and an easy-to-use Java API that can be connected to all leading RDF storage solutions. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne
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Ontology Representation and Data Integration (ORDI) is middleware framework to allow enterprise data integration via RDF-like data model.
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SparrowStorage is a storage framework based on MySQL as Storage Node. The framework is stored the data over infinite disturbed Storage Node and suit for infinity storage room. By MySQL replication , it is able to provide fault tolerance storage service.
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