SlideShare a Scribd company logo
1 of 14
Data Processing Lesson 2
2 – 1 AREAS OF DATA PROCESSING Business Data Processing Scientific Data Processing 2 – 2  DATA PROCESSING OPERATIONS Recording Verifying Duplicating Classifying Calculating
Calculating  Summarizing and Reporting Merging Storing Retrieving Feedback
2-3 METHODS OF PROCESSING DATA Batch Processing On-line Processing Real-time Processing Distributed Processing
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.
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.
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.
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  ,[object Object],[object Object]
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.
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
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.
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
Lesson 2   data processing
Lesson 2   data processing

More Related Content

What's hot

Data management new
Data management newData management new
Data management new
MISY
 
การพัฒนาระบบสารสนเทศ
การพัฒนาระบบสารสนเทศการพัฒนาระบบสารสนเทศ
การพัฒนาระบบสารสนเทศ
Pe' KhumSae
 

What's hot (20)

Data management new
Data management newData management new
Data management new
 
Data Processing and its Types
Data Processing and its TypesData Processing and its Types
Data Processing and its Types
 
Backup & Recovery
Backup & RecoveryBackup & Recovery
Backup & Recovery
 
Information systems and its components 1
Information systems and its components 1Information systems and its components 1
Information systems and its components 1
 
Management Information System (mis)- unit-3
Management Information System (mis)- unit-3Management Information System (mis)- unit-3
Management Information System (mis)- unit-3
 
Components of information system
Components of information systemComponents of information system
Components of information system
 
Different types of data processing
Different types of data processingDifferent types of data processing
Different types of data processing
 
PDT DC015 Chapter 2 System Concept 2017/2018 (a)
PDT DC015 Chapter 2 System Concept 2017/2018 (a)PDT DC015 Chapter 2 System Concept 2017/2018 (a)
PDT DC015 Chapter 2 System Concept 2017/2018 (a)
 
Capacity Management of an ETL System
Capacity Management of an ETL SystemCapacity Management of an ETL System
Capacity Management of an ETL System
 
Information System Part 1
Information System Part 1Information System Part 1
Information System Part 1
 
Management Information System (MIS)- unit-5
Management Information System (MIS)- unit-5Management Information System (MIS)- unit-5
Management Information System (MIS)- unit-5
 
Cfm for datacentres_v9_gb
Cfm for datacentres_v9_gbCfm for datacentres_v9_gb
Cfm for datacentres_v9_gb
 
Bi Capacity Planning
Bi Capacity PlanningBi Capacity Planning
Bi Capacity Planning
 
การพัฒนาระบบสารสนเทศ
การพัฒนาระบบสารสนเทศการพัฒนาระบบสารสนเทศ
การพัฒนาระบบสารสนเทศ
 
Fis 2011-w2
Fis 2011-w2Fis 2011-w2
Fis 2011-w2
 
2 countermeasures
2 countermeasures2 countermeasures
2 countermeasures
 
4. Fundamental MIS Information Systems Presentation
4. Fundamental MIS  Information Systems Presentation4. Fundamental MIS  Information Systems Presentation
4. Fundamental MIS Information Systems Presentation
 
Database recovery
Database recoveryDatabase recovery
Database recovery
 
IRJET- A Comprehensive Review on Query Optimization for Distributed Databases
IRJET- A Comprehensive Review on Query Optimization for Distributed DatabasesIRJET- A Comprehensive Review on Query Optimization for Distributed Databases
IRJET- A Comprehensive Review on Query Optimization for Distributed Databases
 
MIS 17 Cross-Functional Enterprise Systems
MIS 17 Cross-Functional Enterprise SystemsMIS 17 Cross-Functional Enterprise Systems
MIS 17 Cross-Functional Enterprise Systems
 

Similar to Lesson 2 data processing

Failure analysis buisness impact-backup-archive
Failure analysis buisness impact-backup-archiveFailure analysis buisness impact-backup-archive
Failure analysis buisness impact-backup-archive
Davin Abraham
 
notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptnotes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
MsecMca
 
Dataintensive
DataintensiveDataintensive
Dataintensive
sulfath
 

Similar to Lesson 2 data processing (20)

Lecture 2
Lecture 2Lecture 2
Lecture 2
 
Reviewer in computer fundamentals for mma
Reviewer in computer fundamentals for mmaReviewer in computer fundamentals for mma
Reviewer in computer fundamentals for mma
 
Data processing and analysis
Data processing and analysisData processing and analysis
Data processing and analysis
 
Fundamentals of DBMS
Fundamentals of DBMSFundamentals of DBMS
Fundamentals of DBMS
 
Data Segregation
Data SegregationData Segregation
Data Segregation
 
IRJET - The 3-Level Database Architectural Design for OLAP and OLTP Ops
IRJET - The 3-Level Database Architectural Design for OLAP and OLTP OpsIRJET - The 3-Level Database Architectural Design for OLAP and OLTP Ops
IRJET - The 3-Level Database Architectural Design for OLAP and OLTP Ops
 
Failure analysis buisness impact-backup-archive
Failure analysis buisness impact-backup-archiveFailure analysis buisness impact-backup-archive
Failure analysis buisness impact-backup-archive
 
Fit l05 data_processing
Fit l05 data_processingFit l05 data_processing
Fit l05 data_processing
 
DATA BASE.docx
DATA BASE.docxDATA BASE.docx
DATA BASE.docx
 
Big Data Processing with Hadoop : A Review
Big Data Processing with Hadoop : A ReviewBig Data Processing with Hadoop : A Review
Big Data Processing with Hadoop : A Review
 
ScaleFast Grid And Flow
ScaleFast Grid And FlowScaleFast Grid And Flow
ScaleFast Grid And Flow
 
BA.pptx
BA.pptxBA.pptx
BA.pptx
 
notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptnotes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
 
Dataintensive
DataintensiveDataintensive
Dataintensive
 
Deduplication on Encrypted Big Data in HDFS
Deduplication on Encrypted Big Data in HDFSDeduplication on Encrypted Big Data in HDFS
Deduplication on Encrypted Big Data in HDFS
 
Data Processing
Data ProcessingData Processing
Data Processing
 
Survey of streaming data warehouse update scheduling
Survey of streaming data warehouse update schedulingSurvey of streaming data warehouse update scheduling
Survey of streaming data warehouse update scheduling
 
Fast Range Aggregate Queries for Big Data Analysis
Fast Range Aggregate Queries for Big Data AnalysisFast Range Aggregate Queries for Big Data Analysis
Fast Range Aggregate Queries for Big Data Analysis
 
Demystifying Data Virtualization (ASEAN)
Demystifying Data Virtualization (ASEAN)Demystifying Data Virtualization (ASEAN)
Demystifying Data Virtualization (ASEAN)
 
Information Storage and Management notes ssmeena
Information Storage and Management notes ssmeena Information Storage and Management notes ssmeena
Information Storage and Management notes ssmeena
 

More from guevarra_2000

School personnel sheet2
School personnel sheet2School personnel sheet2
School personnel sheet2
guevarra_2000
 
Ting's report on training of spa
Ting's report on training of spaTing's report on training of spa
Ting's report on training of spa
guevarra_2000
 
Personnel administration
Personnel administrationPersonnel administration
Personnel administration
guevarra_2000
 
Filipino values and culture
Filipino values and cultureFilipino values and culture
Filipino values and culture
guevarra_2000
 
Format for the action research project
Format for the action research projectFormat for the action research project
Format for the action research project
guevarra_2000
 
Action research format
Action research formatAction research format
Action research format
guevarra_2000
 
Recruitmentcompatible 1222798911739370-9
Recruitmentcompatible 1222798911739370-9Recruitmentcompatible 1222798911739370-9
Recruitmentcompatible 1222798911739370-9
guevarra_2000
 
Filipino culture report
Filipino culture reportFilipino culture report
Filipino culture report
guevarra_2000
 
Personnel administration report
Personnel administration reportPersonnel administration report
Personnel administration report
guevarra_2000
 
Leader&cultural diversity
Leader&cultural diversityLeader&cultural diversity
Leader&cultural diversity
guevarra_2000
 
Leader&cultural diversity
Leader&cultural diversityLeader&cultural diversity
Leader&cultural diversity
guevarra_2000
 
Principles of getting job done
Principles of getting job donePrinciples of getting job done
Principles of getting job done
guevarra_2000
 
Leading different personalities
Leading different personalitiesLeading different personalities
Leading different personalities
guevarra_2000
 

More from guevarra_2000 (20)

School personnel sheet2
School personnel sheet2School personnel sheet2
School personnel sheet2
 
Ting's report on training of spa
Ting's report on training of spaTing's report on training of spa
Ting's report on training of spa
 
Personnel admin
Personnel adminPersonnel admin
Personnel admin
 
Personnel administration
Personnel administrationPersonnel administration
Personnel administration
 
Supervisor's role
Supervisor's roleSupervisor's role
Supervisor's role
 
Filipino values and culture
Filipino values and cultureFilipino values and culture
Filipino values and culture
 
Format for the action research project
Format for the action research projectFormat for the action research project
Format for the action research project
 
Course outline
Course outlineCourse outline
Course outline
 
Course outline
Course outlineCourse outline
Course outline
 
Action research format
Action research formatAction research format
Action research format
 
Recruitment
RecruitmentRecruitment
Recruitment
 
Recruitmentcompatible 1222798911739370-9
Recruitmentcompatible 1222798911739370-9Recruitmentcompatible 1222798911739370-9
Recruitmentcompatible 1222798911739370-9
 
Filipino culture report
Filipino culture reportFilipino culture report
Filipino culture report
 
Personnel administration report
Personnel administration reportPersonnel administration report
Personnel administration report
 
Leader&cultural diversity
Leader&cultural diversityLeader&cultural diversity
Leader&cultural diversity
 
Leader&cultural diversity
Leader&cultural diversityLeader&cultural diversity
Leader&cultural diversity
 
Edleadership
EdleadershipEdleadership
Edleadership
 
Principles of getting job done
Principles of getting job donePrinciples of getting job done
Principles of getting job done
 
Leading different personalities
Leading different personalitiesLeading different personalities
Leading different personalities
 
Success2012
Success2012Success2012
Success2012
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 

Recently uploaded (20)

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 

Lesson 2 data processing

  • 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.
  • 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