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Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.
Cytoscape – an open source bioinformatics software platform (as of version 3.0) DataNucleus – open source data services and persistence platform in service-oriented architectures; DDF – Distributed Data Framework provides free and open-source data integration; Dotcms – open source Web Content Management; EasyBeans – open source EJB 3 ...
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance . Originally developed at the University of California, Berkeley 's AMPLab , the Spark codebase was later donated to the Apache Software Foundation ...
Airbyte, an open source data integration platform for building ELT data pipelines, today announced the general availability of its cloud service. The company is also detailing its new compensation ...
The company was built around the successful Open Source Software (OSS) project, Mule, which Ross Mason founded in 2003. The "mule" in the name comes from the drudgery, or "donkey work," of data and application integration that the platform was created to escape. [6] The company changed its name to MuleSoft in 2009.
Ontology-based data integration involves the use of one or more ontologies to effectively combine data or information from multiple heterogeneous sources. [1] It is one of the multiple data integration approaches and may be classified as Global-As-View (GAV). [ 2 ]
This makes it particularly useful for enterprise application integration and data integration tasks. In more abstract terms, middleware is "The software layer that lies between the operating system and applications on each side of a distributed computing system in a network." [1]