HDF is an abbreviation, often used as a noun in technical contexts.
/hɛd/ (commonly pronounced as "hed", resembling the first syllable of "header" or "hedge")
HDF stands for "Hierarchical Data Format," which is a set of file formats and standards used to store and organize large amounts of data in a structured manner. HDF is widely used in scientific computing, data analysis, and for storing complex datasets that can include multiple types of data.
Due to its specificity to technical fields, HDF is primarily used in written contexts such as academic papers, technical documentation, and software development. Its frequency of use can fluctuate depending on the research and technical fields, but it remains an essential term in data management and scientific computing.
HDF文件通常用于气候建模，以存储大型数据集。
The scientific community often relies on HDF for organizing complex data from various experiments.
科学界通常依赖HDF来组织来自各种实验的复杂数据。
To read the HDF format, you need specialized libraries like HDF5.
While "HDF" does not have common idiomatic expressions associated with it, its component concepts may relate to expressions in scientific and technical jargon.
HDF5的可扩展性使研究人员能够有效管理日益增长的数据集。
By utilizing HDF, data retrieval becomes significantly faster, which is crucial for real-time applications.
利用HDF，数据检索显著加快，这对于实时应用至关重要。
Many developers choose HDF as a reliable option for storing multidimensional data.
The term "Hierarchical Data Format" was introduced in the late 1980s for scientific data management. The need for a versatile data storage system that could handle a variety of data types and structures led to the development of HDF by the National Center for Supercomputing Applications (NCSA).
This comprehensive overview provides insights into the meaning, usage, and applications of HDF within the context of data management and scientific computing.