Lesson 2 data processing

  • 2,619 views
Uploaded on

 

More in: Technology , Business
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
  • how to download this?
    Are you sure you want to
    Your message goes here
    Be the first to like this
No Downloads

Views

Total Views
2,619
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
54
Comments
1
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Data Processing
    Lesson 2
  • 2. 2 – 1 AREAS OF DATA PROCESSING
    Business Data Processing
    Scientific Data Processing
    2 – 2 DATA PROCESSING OPERATIONS
    Recording
    Verifying
    Duplicating
    Classifying
    Calculating
  • 3. Calculating
    Summarizing and Reporting
    Merging
    Storing
    Retrieving
    Feedback
  • 4. 2-3 METHODS OF PROCESSING DATA
    Batch Processing
    On-line Processing
    Real-time Processing
    Distributed Processing
  • 5. 2-1 AREAS OF DATA PROCESSING
    Business Data Processing ( BDP)
    It is characterized by the need to establish , retain, and process files of data for producing useful information.
    It involves a large volume of input data ,limited arithmetical operations
    and relative large volume of output.
  • 6. 2-1 AREAS OF DATA PROCESSING
    Scientific Data Processing ( SDP)
    In science, data processing involves a limited volume of input and many logical or arithmetic calculations.
  • 7. 2-2 Data Processing Operations
    Recording – refers to the transfer of data unto some form or document. It relates to the documentation of intermediate figures and facts resulting from calculations
    Verifying – the checking of any possible errors in the recorded data.
  • 8. 2-2 Data Processing Operations
    Duplicating – reproducing the data unto many forms of documents.
    Classifying – identifying and arranging items with like characteristics into groups or classes .
    Sorting – arranging data in a specific order
    Calculating – the arithmetic manipulation of data.
    Summarizing and Reporting
    • Summarizing – reducing masses of data to a more usable form.
  • Merging – this operation takes two or more sets of data and puts them together to form a single sorted set of data.
    Storing – placing similar data into files for future reference .
    Retrieving – recovering stored data and / or information when needed.
    Feedback – is the comparison of the output and the goal set in advance; any discrepancy is analyzed, corrected and fed back to the proper stage in the processing operation.
  • 9. 2- 3 Methods of Processing Data
    Batch Processing – is a technique in which data to be processed or program to be executed are collected into groups to permit convenient, efficient and serial processing.
    On-line Processing - in one which uses devices directly connected to the CPU either for data entry or inquiry purposes.
  • 10. 2- 3 Methods of Processing Data
    Real-time processing is a method of data processing which has the capability of a fast response to obtain data from an activity or a physical process , performs computations and return a response rapidly enough to affect the outcome of the activity or process.
    Distributed Processing is the most complex level of computer processing which generally consists of remote terminals linked to a large central computer system to help the user conduct inquiries about accounts , process jobs or other data processing operations
  • 11. Advantages of distributed processing system
    Central processor time is reduced
    Sophisticated computers and a growing library of applications program may be immediately available to end users whenever needed
    Skilled professionals are available to help users develop their own specialized applications
    Managers may be able to react rapidly to new development and interact with the system in order to seek solutions to unusual problems.
  • 12. Possible disadvantages are:
    The reliability and cost of the data communications facilities used and the cost and quality of the computing service received , ay be disappointing in some cases.
    Input / output terminals are often rather slow and inefficient.
    Provisions for protecting the confidentiality and integrity of user programs