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Apache Jackrabbit is an open source content repository for the Java platform. The Jackrabbit project was started on August 28, 2004, when Day Software licensed an initial implementation of the Java Content Repository API (JCR). Jackrabbit was also used as the reference implementation of JSR-170, specified within the Java Community Process.
GitHub repository of the project: Dynatrace This data is not pre-processed AIOps Challenge 2020 Data This data is not pre-processed GitHub repository of the project: Loghub This data is not pre-processed List of repositories: HTML Pages This data is not pre-processed List of HTML pages: Opensift ebooks This data is not pre-processed [409]
There are several open source projects that provide similar data version control capabilities to DVC, [52] such as: Git LFS, Dolt, Nessie, and lakeFS. These projects vary in their fit to the different needs of data engineers and data scientists such as: scalability, supported file formats, support in tabular data and unstructured data, volume ...
IoTDB: data store for managing large amounts of time series data in industrial applications; Jackrabbit: implementation of the Java Content Repository API; James: Java email and news server; jclouds: open source multi-cloud toolkit for the Java platform; Jena is an open source Semantic Web framework for Java
Content Repository API for Java (JCR) is a specification for a Java platform application programming interface (API) to access content repositories in a uniform manner. [1] [failed verification] The content repositories are used in content management systems to keep the content data and also the metadata used in content management systems (CMS) such as versioning metadata.
The most frequently used repository software for open repositories according to OpenDOAR are Digital Commons, DSpace and EPrints. [6] Other examples are arXiv, bioRxiv, Dryad, Figshare, Open Science Framework, Samvera, Ubiquity Repositories and invenio (solution used by Zenodo).
What a Web server is to the Internet, a model server is to AI. Where a Web server receives an HTTP request and returns data about a Web site, a model server receives data, and returns a decision or prediction about that data: e.g. sent an image, a model server might return a label for that image, identifying faces or animals in photographs.
Example of a database that can be used by a data lake (in this case structured data) A data lake is a system or repository of data stored in its natural/raw format, [1] usually object blobs or files. A data lake is usually a single store of data including raw copies of source system data, sensor data, social data etc., [2] and transformed data ...