Data Transformation
The process of processing the raw data you create or obtain according to a specific standard and transmitting the processed data to the desired software or integration.
Data Transformation Processes
The control process begins with standardization and interpretation work on the raw data.
Data is converted into the desired format for transmission or output and schema/schematron checks are applied.
Formulation processes are applied to the interpreted data and data normalization is performed.
The output data is delivered in the relevant integration format, completing the data transformation process.
Raw Data Process
A complete set of data created by a user or a system.
For Ünlem Bilişim, Raw Data is the complete dataset obtained as a whole via file systems or integration structures, created by users or systems, and then passed through data transformation processes to become more meaningful.
Data Transformation Steps
Our data transformation steps in the order of operation of some algorithms and steps we use;
The obtained raw data is processed through special algorithms to establish a data standard.
The read data is supported by specially developed AI and turned into interpreted data.
The interpreted data output is adapted to the desired format and produced as output.
Data Transfer Protocol
During data transfer, topics such as the source, file type, or format of the data are not important at all for Ünlem Bilişim. We provide solutions even for software running in DOS environments from the 1970s and software that cannot export any data. With our proprietary algorithms and AI, we overcome these and similar issues easily.
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