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PAD or Portable Application Description is a machine-readable document format and specification designed by the Association of Software Professionals and introduced in 1998. The PAD specification is utilized by more than 6,000 [ 1 ] software publishers of downloadable applications covering the Windows, OS X, and Linux operating systems.
The PAD system is popular because web sites can pull updated data from a single file stored on the software author's site. The final release of the PAD specification, v4.0 was released to the public domain as of January 2022. The ASP also played a role in making FILE_ID.DIZ files a de facto standard.
Open-source (since 2004) columnar Relational DBMS pioneer PostgreSQL cstore fdw, [1] vops [2] C cstore_fdw uses ORC format StarRocks Java & C++ Open source, unified analytics platform for batch and real-time analytics. Supports and extensions available from CelerData. VictoriaMetrics Go Time series database
HTML Form format HTML 4.01 Specification since PDF 1.5; HTML 2.0 since 1.2 Forms Data Format (FDF) based on PDF, uses the same syntax and has essentially the same file structure, but is much simpler than PDF since the body of an FDF document consists of only one required object. Forms Data Format is defined in the PDF specification (since PDF 1.2).
In the table below, the column "ISO 8859-1" shows how the file signature appears when interpreted as text in the common ISO 8859-1 encoding, with unprintable characters represented as the control code abbreviation or symbol, or codepage 1252 character where available, or a box otherwise. In some cases the space character is shown as ␠.
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Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. [3] It is similar to the other columnar-storage file formats available in the Hadoop ecosystem such as RCFile and Parquet. It is used by most of the data processing frameworks Apache Spark, Apache Hive, Apache Flink, and Apache Hadoop.
Python library for the manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in geoh5 file format, natively supported by Geoscience ANALYST free 3D viewer Mira Geoscience Ltd. LPGL 3.0 Cross-platform: Python: Documentation and tutorials fully available in ReadTheDocs: geoapps repository [24]