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The goal of the Data Formats course is to give an overview of commonly used data formats for typical types of data.
There will be a description of each data type and the data formats used for that data type along with tools available to work with such data.
Last update: Kopecký Michal, RNDr., Ph.D. (15.05.2020)
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During the semester there will be homework assignments for credit. Each homework will be evaluated only once. Turning in homework repeatedly or after the deadline is not allowed. It is not required to attend tutorials. Getting homework credit is a prerequisite for the final exam. The final exam is a written test. Last update: Klímek Jakub, doc. RNDr., Ph.D. (14.05.2020)
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Last update: Klímek Jakub, doc. RNDr., Ph.D. (14.05.2020)
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Generic properties of data formats, data models, standardization Overview of data formats for multimedia and print Text formats Key-value formats XML, XML schemas Transformation of XML data (XSLT) JSON, JSON schemas Tabular formats, CSV, CSV schemas Geodata formats Graph data formats RDF, RDF serializations, RDF vocabularies Last update: Klímek Jakub, doc. RNDr., Ph.D. (19.05.2021)
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