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The validation process begins with validation planning, system requirements definition, testing and verification activities, and validation reporting. The system lifecycle then enters the operational phase and continues until system retirement and retention of system data based on regulatory rules.
Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...
XML validation is the process of checking a document written in XML (eXtensible Markup Language) to confirm that it is both well-formed and also "valid" in that it follows a defined structure. A well-formed document follows the basic syntactic rules of XML, which are the same for all XML documents. [ 1 ]
The 2013 version then added new XML validation tools. [15] The program also has support for XBRL , in order to manage and view XBRL data. [ 16 ] Version 2014 includes support for XQuery Update Facility, with recent updates adding support for JSON Schema and Apache Avro.
Schema.org is an initiative launched on June 2, 2011, by Bing, Google and Yahoo! [ 3 ] [ 4 ] [ 5 ] (operators of the world's largest search engines at that time) [ 6 ] to create and support a common set of schemas for structured data markup on web pages.
The augmented infoset is called the post-schema-validation infoset, or PSVI. [4] Infoset augmentation is somewhat controversial, with claims that it is a violation of modularity and tends to cause interoperability problems, since applications get different information depending on whether or not validation has been performed. [5]
Shown here is another possible encoding; XML schema does not define an encoding for this datatype. ^ The RFC CSV specification only deals with delimiters, newlines, and quote characters; it does not directly deal with serializing programming data structures.
Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...