Data Transformation
It is 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 steps involved in interpreting and transforming raw data.
The control process begins with standardization and interpretation work on the raw data.
The data is transformed into the format requested for transmission or output, and schema/schematron checks are applied.
Formulation processes are applied to the interpreted data and data normalization is carried out.
The data transformation process is completed by delivering the output data in the relevant integration format.
Raw Data Process
For Ünlem Bilişim, Raw Data is the complete set of data obtained as a whole through file systems or integration structures, created by users or systems, and made more meaningful by passing the obtained data through data transformation processes.
Data Transformation Steps
Some of the algorithms and steps we use in data transformation, in order of operation;
The obtained raw data is processed through special algorithms to establish a data standard.
The read data is supported by specially developed artificial intelligence and transformed into meaningful data.
The interpreted data output is formatted according to the requested format and delivered as output.
Data Transfer Protocol
During data transfer, issues such as the source from which the data will be obtained, the file type, or the format are not important for Ünlem Bilişim at all.
It provides solutions for software running in DOS environments dating back to the 1970s and for many software systems that cannot output any data externally. Thanks to our specially developed algorithms and artificial intelligence, we easily overcome these and similar challenges.
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