Phases of Data Processing
Data collection – The collection of data is considered the initial step included in the data processing. Data gets pulled from available sources that include data warehouses and data lakes. This is vital for the data sources to be well-built and trustworthy and hence, the data which is collected will turn out to be of the premium quality.
Preparation of data – When the data is accumulated, it enters the stage of data preparation. It is habitually known as pre-processing and it is the stage where raw data gets cleaned up plus arranged for other stages of data processing. At the time of preparation, raw data gets checked diligently for errors and the requirement of this step is lessening bad data and beginning to develop high-quality data for the purpose of finest BI (business intelligence).
Data input – The next step involves the entering of clean data into its destination and transformed into a language that it can understand.
Processing – At this stage, the data which is inputted to the computer is processed for interpretation. The job of processing is accomplished through the use of machine learning algorithms.
Data interpretation or output – The interpretation or output stage is where data is ultimately used by the non-data scientists. This is transformed and it turns out to be readable too in the form of videos, graphs, plain text, images, etc.
Data storage – This is the final phase of data processing. Post the data is processed; it gets preserved for future usage. While some data is used immediately, a huge chunk does serve a purpose further. Appropriately stored data becomes important for compliance and when data gets stored properly, then it can be easily and quickly accessed by the organization members when required.
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Various Kinds of Output Files
The various kinds of output files that you can get as processed data are:
- Plain text file – They constitute the modest form of processed data and mostly, these files are easy to comprehend or read.
- Spreadsheet/ table – This format is highly appropriate for numeric data and when digits are there in columns and rows, then it permits the users to perform different operations, such as sorting and filtering in ascending or descending order.
- Graphs and charts – Though there are huge graphs and charts for matching differing needs, yet there are situations when there happens to be a requirement for having a user-defined option.
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