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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. All formats are "self-describing".
The software is an interface for the storage and manipulation of multi-dimensional data sets. [1] ... (HDF) NetCDF (Network Common Data Form - not compatible with CDF)
For example, 3.14 will be serialized to 3.140 000 000 000 000 124 344 978 758 017 532 527 446 746 826 171 875. ^ XML data bindings and SOAP serialization tools provide type-safe XML serialization of programming data structures into XML. Shown are XML values that can be placed in XML elements and attributes.
Silo sits on top of other low-level storage libraries such as PDB, NetCDF, and HDF5. Currently, VisIt, an open source software package with its start at LLNL, supports the Silo format for visualization and analysis, among many other formats. As of Version 4.8, July, 2010, the Silo source code is now available under the standard BSD Open Source ...
OPeNDAP's software for building DAP servers (on top of Apache) is dubbed Hyrax and includes adapters that facilitate serving a wide variety of source data. DAP servers most frequently enable (remote) access to (large) HDF or NetCDF files, but the source data can exist in databases or other formats, including user-defined ones.
The format is a conceptual entity established by the documentation; the software is a physical product supplied to enable developers to access and produce data recorded in that format. The CGNS system is designed to facilitate the exchange of data between sites and applications, and to help stabilize the archiving of aerodynamic data.
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.