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Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
The netCDF-4/HDF5 format was introduced in version 4.0; it is the HDF5 data format, with some restrictions. The HDF4 SD format is supported for read-only access. The CDF5 format is supported, in coordination with the parallel-netcdf project.
1.0 (Fifth Edition) 1.1 (Second Edition) Partial (Efficient XML Interchange, Binary XML, Fast Infoset, XSD base64 data) Yes XPointer, XPath: XML schema, RELAX NG: DOM, SAX, XQuery, XPath — XML-RPC: Dave Winer [6] XML: No XML-RPC Specification: No Yes No No No No YAML: Clark Evans, Ingy döt Net, and Oren Ben-Kiki
HDF Explorer is a data visualization program that reads the HDF, HDF5 and netCDF data file formats. It runs in the Microsoft Windows operating systems. HDF Explorer was developed by Space Research Software, LLC , headquartered in Urbana - Champaign , Illinois.
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Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.
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ADT – Sybase Advantage Database Server (ADS) APR – Lotus Approach data entry & reports; BOX – Lotus Notes Post Office mail routing database; CHML – Krasbit Technologies Encrypted database file for 1 click integration between contact management software and the Chameleon Software; DAF – Digital Anchor data file; DAT – DOS Basic