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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.
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XDMF (eXtensible Data Model and Format) provides a standard way to access data produced by HPC codes. [1] Data format refers to the raw data to be manipulated, the description of the data is separate from the values themselves.
The Allotrope Foundation is a consortium of pharmaceutical companies, instrument vendors and software companies to simplify the exchange of scientific electronic data. It publishes the Allotrope Foundation Ontology (AFO) which is a controlled vocabulary to structure data, the Allotrope Data Models (ADM) and the Allotrope Data Format (ADF) based on HDF5 which incorporates those for use in practice.
Hortonworks DataFlow (HDF): based on Apache NiFi, Apache Storm, Apache Kafka; Hortonworks DataPlane services (DPS): based on Apache Atlas and Cloudbreak and a pluggable architecture into which partners such as IBM can add their services. [2] In January 2019, Hortonworks completed its merger with Cloudera. [3]
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. All formats are "self-describing".
The countries in which the French Wikipedia is the most popular language version of Wikipedia are shown in dark blue. Page views by country over time on the French Wikipedia. The audience measurement company Médiamétrie questioned a sample of 8,500 users residing in France with access to Internet at home or at their place of work.
A binary format was chosen for the data in order to improve performance and data storage as compared with more traditional ASCII grids. The group considered both the NetCDF and HDF5 data formats, and chose HDF5 because it has more flexibility for data storage, compression and data mining. It also supports data folders and data structures ...