The Data processing concept consists of the collection and handling of data in an appropriate and usable form. Data manipulation is the automated processing in a predetermined operating sequence. Today, the processing is done automatically using computers and results are faster and more accurate.
Explanation:
Data is obtained from sources such as data lakes and data storage facilities. The data collected must be high quality and reliable.
By using a CRM, such as Salesforce and Redshift, a data warehouse, the data collected are translated into mask language.
The data are processed for interpretation. Machine learning algorithms are used for processing. Their procedure varies according to the processed data (connected equipment, social networks, data lakes).
These data are very helpful to non-data scientists. The information is transformed into videos, graphs, images, and plain text. Company members may begin to analyze and apply this information to their projects.
The final stage of processing is the use of storage in future. Effective data storage to comply with GDPR is necessary (data protection legislation).
I suggest you to read OpenSSL changelogs to make it more clear. As there's not enough space to describe how it works. But heartbleed resistan version was 1.0.2, as I know.
