Question

Data processing is an intermediary stage of work between data collection and

data analysis”- Explain the statement by enumerating the various operations

involved in it.

​

Answer 1

Operations involved in Data Processing

Explanation:

The following are various stages in processing the data.

• Data collection-First step in data processing is the collection of data.
• Data preparation - Data preparation, also referred to as "pre-processing," is the stage at which raw data is cleaned up and prepared for the subsequent data processing phase.
• Data input-Then the clean data is entered into its destination and converted into a language it can understand.
• Processing-The data inputted to the device during the previous stage is actually processed for analysis during this stage.
• Data output/interpretation —The output/interpretation stage is the stage where data can be finally used.
• Data Storage-Storing is the final stage of data processing

Answer 2

Data processing is an intermediary stage of work between data collection and data analysis

Explanation:

• Data processing means transferring the data to the form that can be used and desired. This conversion or "processing" takes place manually or automatically via a predefined series of operations
• In addition , data processing synchronizes all information entered into the program, ensuring that the most important data can be taken out. For any business, this is incredibly valuable, as it allows them to capture the most appropriate information for later use.

The stages of data processing are

1. Data Collection:The first step in the processing of data is  collection of  data. The data, including data lakes and database stores, is obtained from available sources. For the data collected  (and subsequently used as information) are of optimum quality, it is crucial that data sources available is reliable and well-built.
2. Data Preparation: When the information is obtained, the data is then analyzed. Data preparation, often known as the "pre-processing" phase, is used to clean up and organize raw data for following data processing phases. Raw data are carefully checked for errors during preparation. This process is meant to remove bad (redundant, missing, or incorrect) data and to continue generating good quality data for the best business intelligence.
3. Data Input: The clean data is entered and converted into a way that is understandable, either into a CRM such as Salesforce or a data center like Redshift. Data input is the first step in which raw data takes the form of useful information.
4. Data Processing: Here, the data inputted to the computer in the previous stage is  "processed for interpretation". Processing is done using "machine learning algorithms", although the process may differ slightly depending on the data source being processed (social networks, data lakes, connected devices, and so on) & its intended use
5. Data Output: The output/interpretation stage is the stage at which data is finally usable to non-data scientists which is is translated and in readable form.
6. Data Storage: The final stage of data processing is storage. After all of the data is processed, it is then stored for future use.

Processing of data largely depends on the following −

1. The volume of data which is required to be processed
2. The complexity of data processing operations
3. Capacity & inbuilt technology of respective computer system
4. Technical skills
5. Time constraints

Methods of Data Processing

1. Single User Programming: Done by a single person for his personal use, example, small offices
2. Multiple Programming:  Facility to store & execute more than one programme in the CPU simultaneously.
3. Real-Time Processing: Developed specifically to perform one task, that is, online processing that is always under execution; facilitates the user in having direct contact with the computer system
4. On-line Processing: Facilitates the entry & execution of data directly without storing or accumulating the data; reduces data entry errors & is used for online applications
5. Time Sharing Processing: Facilitates several users to share the resources of an online computer system and adopted when results are needed swiftly.
6. Distributed Data Processing: Specialised DP technique wherein different computers located remotely stay interconnected with a "single host computer" making a computer network .

To know more

what is data processing??? - Brainly.in

https://brainly.in/question/4305573