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What are the differences between ancient method and modern method of data processing?
The main difference is that the ancient computers were people and, brilliant as the human brain is, it is fallible; it makes mistakes. It is also extremely slow (although, at the time, there was no faster method of processing data). Modern data processors are machines and machines don't make mistakes, provided the machines are programmed correctly and the data is input correctly. They are also capable of performing highly repetitive tasks extremely quickly, capable of processing vast amounts of data in a fraction of the time it would take a human.
What ate the different between manual data processing and electronic data processing?
What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
1 business data processing and scientific data processing definitions?
business data processing: accounting, billing, inventory management, etc.scientific data processing: analysis of experimental data, simulation and modeling of physical systems, experimental data collection, etc.
What is the Concept of data processing?
Data processing is basically the transformation of raw data to import data through a procedure. Data is controlled to create results that lead to the goals of an issue or improvement of a current circumstance. Methods of data processing:- Manual Data Processing, Data is processed manually without using any machine or tools to get the required result. Mechanical Data Processing, Data is processed using different devices like a typewriter, mechanical printers, and other devices. Electronic Data Processing, Data is processed through a computer; data & set of instructions are given to the computer as input, and computer-processed data according to given instruction. · Batch processing · Online processing · Distributed processing · Real-time processing
Show the data processing cycle?
The data processing cycle is the process of converting data into useful information. The data is processed again and again until the accurate result is achieved. The three basic activities of data processing are: 1. Input 2. Processing 3. Output
What is digital image processing?
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
What are the advantages of manual method of processing data?
javling throw
What is the best method of collecting primary data?
the best method to collect primary data is to make a Baseline Data or using the method of Rapid Rural Appraisal.
what are the advantages and disadvantages of manual data processing method?
javling throw
How does the push-pull processing method impact the efficiency of data handling in computer systems?
The push-pull processing method improves data handling efficiency in computer systems by allowing for simultaneous data transfer in both directions, reducing latency and improving overall system performance.
What is data marshalling?
Data marshalling is a method to prepare data for processing or for transport over a network.The packaging of arguments passed to a procedure is called marshalling.
Categories of data processing?
Data is processed to get the required results. Different operations may be performed on data. Therefore, data processing is defined as:"A sequence of operations on data to convert it into useful information is called data processing."The important operations that can be performed on data are:Arithmetic and logical operations on data to get required results.To send and receive data from one location to another.Classification of data.Arranging data into a specific order etc.The data processing is divided into three categories or levels.1. Manual Data Processing: In manual data processing, data is processed manually without using any machine or tool to get required result. In manual data processing, all the calculations and logical operations are manually performed on the data. Similarly, data is manually transferred from one place to another. This method of data processing is very slow and errors may occur in the output.In Pakistan, data is still processed manually in many small business firms as well as government offices & institutions.2. Mechanical Data Processing: In mechanical data processing, data is processed by using different tools like calculators or other mechanical devices. This method of data processing is faster and more accurate than manual data processing.3. Electronic Data Processing: It is the modern technique to process data. The data is processed through computer. Data and set of instructions are given to the computer as input and the computer automatically processes the data according to the given set of instructions.The computer is also known as electronic data processing machine. This method of processing data is very fast and accurate. Now-a-days, the data is processed and analyzed through computers. For example, the results of students are prepared through computer; in banks accounts of customers are processed through computers etc.
What are the 2 areas of data processing?
Business data processing and Scientific data processing.
What are the categories data processing?
What are the two areas of data processing?
What is an electronic data processing method for counting ballots cast at polling places?
DRE voting machines
What is electronic data processing?
The example of electronic data processing is the use of the computer in processing data.
What are the differences between ancient method and modern method of data processing?
The main difference is that the ancient computers were people and, brilliant as the human brain is, it is fallible; it makes mistakes. It is also extremely slow (although, at the time, there was no faster method of processing data). Modern data processors are machines and machines don't make mistakes, provided the machines are programmed correctly and the data is input correctly. They are also capable of performing highly repetitive tasks extremely quickly, capable of processing vast amounts of data in a fraction of the time it would take a human.
