1) Input is when the data is entered into the computer: There are 3 stages involved when imputing data; they are collection, verification, and coding. Collection collects the data and assembles it. The verification checks whether the data being processed it exact and complete. Coding means translating the data, in order for it to be used into machine readable form. 2) Process - The data is processed and organised. 3) Output is when the data which had been processed is presented as a document etc. Answer:
Data processing can be likened to the manufacturing process. In manufacturing,raw materials are processed, or made into a finished product. The raw materials maybe considered "input" to the processing machine. The finished product is "output." Inthe electronic computer, data are the raw material or input to the computer. Thefinished product, or output, is usually a printed report or an updated file containing datathat have been processed or manipulated in some way. The three functions (or stages)of data processing are: input, process (or manipulation), and output. Input involvescapturing data and getting it into a farm understandable to the computer. Processingencompasses the various steps taken by the computer to manipulate the data andprovide information. Output makes the computed results of processing available for usein decision-making
Data processing methods include:
- data orientation
- data coding
- data input
- data manipulation
- data preparation
- data output.
it is a way to convert data into information
The growing or life cycle of cattle is very simple as it compares to geography. This process is important in understanding which areas are most suitable for cattle life.
stellar nebula
According to the writings of Rizal chapter four, the life works in a cycle. It basically revolves around what we do to humanity.
fire/heat is one of the essential thing in order to complete the life cycle.. and so with the water and air. The absence of one of these elements would definitely destroy the balance of the cycle. -samishiyoru
Clouds are important because they are part of the Earth's water cycle. If clouds did not exist, life would not continue on earth.
Data life cycle refers to the time from creation and the initial storage of data to the time that the data becomes obsolete and it is deleted. Data life cycle management is the approach to managing data using automated processes to organize data in a system.
The data processing cycle is a set of procedures for converting data into meaningful information. The goal of this processing is to produce actionable data that can be used to improve a company's performance. ... Data is gathered. Data preparation and error checking, as well as converting the data into a format suitable for data entry To learn more about data science please visit- Learnbay.co
Data life cycle refers to the time from creation and the initial storage of data to the time that the data becomes obsolete and it is deleted. Data life cycle management is the approach to managing data using automated processes to organize data in a system.
Information processing is the process of changing or converting information into meaningful form. Information is a processed, organized or classified data which is useful for the receiver. Information is the processed data which may be used “as is” or may be put to use along with more data or information. The receiver of information takes actions and decisions based on the information received. Collected data must be processed to get meaning out of it, and this meaning is obtained in the form of information. Further information is considered useful & meaningful only if has these characteristics Timely − Information should be available when required, a delay in obtaining information renders it useless. Accuracy − Accuracy of information has a significant impact on the decision-making. Possibilities of even slightest errors should be minimized Completeness − Information should be complete. Incomplete information causes incorrect and unintended results. Comprehensive – Information which is incomprehensible is useless for the receiver. This becomes a case of information failure as the sender sent the information, but it was of no use for the receiver, thus is not considered as “information.” Understanding “information processing” in daily life and Examples Information is the processed data which is of some use for humans. Information may further be processed and/or manipulated to form knowledge. Information containing wisdom is known as knowledge. Taking an example of information processing, digits in a report card are considered as information; similarly, stats, when placed in a report or used in some context, provides an understanding. Data collected during surveys is meaningless unless it is processed. Good questionnaires are formed and surveys are conducted to collect data which can be processed to give useful insight. Another example can be a tabular data if merely a table is constructed without with the available data it might not convey the intended message, but when data mapping is done using that data to create graphs & charts, it becomes information. Thus information processing is important. Understanding Information processing Cycle Information processing cycle is a sequence of events consisting of input, processing, storage & output. To understand more about what is information processing cycle it is a good idea to study about data processing cycle also. These events are similar as in case of data processing cycle. For a computer to perform useful work, the computer has to receive instructions and data from the outside world. The computer receives data and instructions during the INPUT stage of the information processing cycle. Useful information results when appropriate instructions are applied to data. Applying instructions to data takes place during the PROCESSING stage of the information processing cycle. To avoid having to re-enter data and instructions or reprocess information, computers can save information. Saving information on a computer occurs during the STORAGE phase of the information processing cycle. Saving information on a computer occurs during the Storage phase of the information processing cycle. This is followed by the result in the OUTPUT stage. Computer Processing Cycle is a similar process with similar steps by which data is fed to a computer. Information processing cycle Four phases of the of the cycle to process information Input: Computer receives data and instructions Process: Computer applies instructions to data to produce information (organized Data) Storage: Saving the information for a subsequent use or use in future Output: Computer sends information to people in a usable format. Related: Data Processing, Data Processing Methods, Data Mining information processing cycle diagram Input – Entering data into the computer Feeding the collected raw data in the cycle for processing. This is the raw data which is supplied for processing & obtaining information. Input can be done by utilizing various devices such as keyboards, mice, flatbed scanners, barcode readers, joysticks, digital data tablets (for graphics drawing), electronic cash registers, etc Processing – Performing operations on the data Once the input is provided the raw data is processed by a suitable or selected processing method. This is the most crucial step as it allows for the processed data in the form of output which will be used further. Processing is usually done by CPU (Central Processing Unit) in a computer. CPU is the crucial component for getting the operations done. Storage – Saving data in a soft/physical form This is the outcome, and the raw data provided in the first stage is now “processed,” and the data is useful and provides information and no longer called data. Storage can be done on external hard disk, inbuilt hard disk, pen drives, micro SD cards, compact disks or even in registers. Output – Results obtained, i.e., information
Information processing is the process of changing or converting information into meaningful form. Information is a processed, organized or classified data which is useful for the receiver. Information is the processed data which may be used “as is” or may be put to use along with more data or information. The receiver of information takes actions and decisions based on the information received. Collected data must be processed to get meaning out of it, and this meaning is obtained in the form of information. Further information is considered useful & meaningful only if has these characteristics Timely − Information should be available when required, a delay in obtaining information renders it useless. Accuracy − Accuracy of information has a significant impact on the decision-making. Possibilities of even slightest errors should be minimized Completeness − Information should be complete. Incomplete information causes incorrect and unintended results. Comprehensive – Information which is incomprehensible is useless for the receiver. This becomes a case of information failure as the sender sent the information, but it was of no use for the receiver, thus is not considered as “information.” Understanding “information processing” in daily life and Examples Information is the processed data which is of some use for humans. Information may further be processed and/or manipulated to form knowledge. Information containing wisdom is known as knowledge. Taking an example of information processing, digits in a report card are considered as information; similarly, stats, when placed in a report or used in some context, provides an understanding. Data collected during surveys is meaningless unless it is processed. Good questionnaires are formed and surveys are conducted to collect data which can be processed to give useful insight. Another example can be a tabular data if merely a table is constructed without with the available data it might not convey the intended message, but when data mapping is done using that data to create graphs & charts, it becomes information. Thus information processing is important. Understanding Information processing Cycle Information processing cycle is a sequence of events consisting of input, processing, storage & output. To understand more about what is information processing cycle it is a good idea to study about data processing cycle also. These events are similar as in case of data processing cycle. For a computer to perform useful work, the computer has to receive instructions and data from the outside world. The computer receives data and instructions during the INPUT stage of the information processing cycle. Useful information results when appropriate instructions are applied to data. Applying instructions to data takes place during the PROCESSING stage of the information processing cycle. To avoid having to re-enter data and instructions or reprocess information, computers can save information. Saving information on a computer occurs during the STORAGE phase of the information processing cycle. Saving information on a computer occurs during the Storage phase of the information processing cycle. This is followed by the result in the OUTPUT stage. Computer Processing Cycle is a similar process with similar steps by which data is fed to a computer. Information processing cycle Four phases of the of the cycle to process information Input: Computer receives data and instructions Process: Computer applies instructions to data to produce information (organized Data) Storage: Saving the information for a subsequent use or use in future Output: Computer sends information to people in a usable format. Related: Data Processing, Data Processing Methods, Data Mining information processing cycle diagram Input – Entering data into the computer Feeding the collected raw data in the cycle for processing. This is the raw data which is supplied for processing & obtaining information. Input can be done by utilizing various devices such as keyboards, mice, flatbed scanners, barcode readers, joysticks, digital data tablets (for graphics drawing), electronic cash registers, etc Processing – Performing operations on the data Once the input is provided the raw data is processed by a suitable or selected processing method. This is the most crucial step as it allows for the processed data in the form of output which will be used further. Processing is usually done by CPU (Central Processing Unit) in a computer. CPU is the crucial component for getting the operations done. Storage – Saving data in a soft/physical form This is the outcome, and the raw data provided in the first stage is now “processed,” and the data is useful and provides information and no longer called data. Storage can be done on external hard disk, inbuilt hard disk, pen drives, micro SD cards, compact disks or even in registers. Output – Results obtained, i.e., information
That is knowledge.
first someone borns
Design
Data Administration Guidelines for Institutional Data Resources http://www.mais.umich.edu/access/download/daguide_march2004.pdf
It could be 1:1 (one to one) or one-to-many, depending how each is created and used.
Digitization is a process by which an analog data is converted into digital bits. It allows : 1. Further cheap and reliable mathematical processing of data 2. Saving and Retrieving data without loosing information. 3. Early digitization in a signal processing stage leads to a cheap and reliable device.
It is used in tape drives to sort data - its good with parallel processing, which is why it is used there.