Answer:
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.
Step-by-step 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).