SlideShare ist ein Scribd-Unternehmen logo
1 von 109
Downloaden Sie, um offline zu lesen
CENG497 - DB2 for z/OS Seminar – May 26th 2011 – Middle East Technical
University, Ankara




  DB2 for z/OS Architecture in
  Nutshell
  Cüneyt Göksu
  DB2 SME, Information Champion, IBM Gold Consultant




                                                                         1
Who am I ?

BS, Computer Science, YTU, Istanbul, 1990

MBA, Marmara University, Istanbul, 1992

MS in CS, IIT, Chicago, 1994

20+ years in “Information Management” Technologies

1996 IDUG (International DB2 Users Group)

2004 TDUG (Turkish DB2 Users Group)

2008-2010 IBM Data Champion

2009 IBM Gold Consultant

2011 IDUG BOD
                                                     2
Mainframe – Legend Never Ends

•1964: IBM® System/360™
•Obsolete? New trend?
•Trusted for mission-critical data
•Capability to maintain both old and new applications
•SOA (Service-Oriented Architecture) enabled
•z/OS – Most widely used mainframe operating system
•DB2 for z/OS – IBM’s mainframe relational database
 management system – Since 1983!

                                                        3
4
5
6
What is DB2 for z/OS?
• Relational Data Base Management System (RDBMS)
 – Data base consists of tables
   • Simple concepts
   • Dynamic relationships
 – Structured query language (SQL)
   • High level
       – Data Manipulation Language (DML)
       – Data Definition Language (DDL)
       – Data Control Language (DCL)
   • User specifies WHAT not HOW
 – RDBMS facilities
   •   Integrity
   •   Dynamic definition of DB2 objects
   •   Active catalog
   •   Recovery / restart
   •   Continuous operations
   •   Security
   •   Interactive tools
                                                   7
The system’s view
                                                               • Distributed
                            Utility                             Applications
                       Utility

WebSphere     TSO      BATCH          DB2         CICS          IMS
Application
  Server
                                                                      Trxb
                                                                  Trxa
                       Prog2
   Appl2

 Appl1
                                                      Trx2
               Prog1                                Trx1



                                            • DB2 receives MANY requests
                                              from MANY user programs to
                                              access potentially the SAME data
                                            • Besides USER PROGRAMS, DB2
                                              also receives requests from
                                              UTILITIES
                                                                                 8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
The Risks of Database Failures




                                 50
51
52
53
54
55
56
57
COPY/RECOVER utilities



                                            RECOVER
    UPDATE        UPDATE   DELETE

Log Time




            COPY

                                     DISK
                                    CRASH




           IMAGE COPY
                                                      58
59
60
DB2 Data Structures




                      61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
DB2 Concurrency Control




                          76
Data integrity and concurrency
                          EMPLOYEE Table

     Prog1                                                       Prog2




 1            EXCLUSIVE
                          Row
                LOCK
     UPDATE
                                                    STOP
                                                  ... WAIT ...
                                                                         2
              RELEASE




                                                                  ..
               LOCK                                              SELECT




                                                                  .
                                             OK
 3                                             SHARED
                                                LOCK
     COMMIT
                                                         4

              DB2 must maintain data integrity and also
                  provide maximum concurrency
                                                                             77
78
79
80
81
82
83
84
85
86
87
DB2 Security




               88
Roles and interfaces in DB2

                                                               Security
                                                             Administrator

                                                              Operations

                                              System            Data
                                            Administration   Administrator
                                                               Capacity
 Functional     Technical                                      Planner
  Designer      Designer
                                                                z/OS
                             Database                          Sysprog
                            Administrator
              Programmer                                      CICS/IMS
                                                               Sysprog
                                                                 TP
                                                              Specialist
                                                                             89
90
91
92
93
Distributed Data Facility




                            94
Location transparency, Scalability, Phased growth, Portability of application

                                                                                95
96
97
98
99
100
101
102
103
104
105
106
107
DB2 for z/OS data sharing

                 z/OS            z/OS              z/OS

                  DB2             DB2              DB2




                 z/OS                              z/OS

                  DB2            SHARED            DB2
                                  DASD




                 z/OS            z/OS              z/OS

                  DB2             DB2              DB2




 •   Improved availability              • Incremental processing growth
 •   Huge queries feasible              • Configuration flexibility
 •   SYSPLEX hardware required          • Dynamic workload balancing
 •   Single shared catalog
                                                                          108
CENG497 - DB2 for z/OS Seminar – May 26th 2011 – Middle East Technical
University, Ankara




  Q&A
  Cüneyt Göksu
  DB2 SME, Information Champion, IBM Gold Consultant
  Cuneyt.Goksu@Gmail.com




                                                                         109

Weitere ähnliche Inhalte

Was ist angesagt?

Best practices for DB2 for z/OS log based recovery
Best practices for DB2 for z/OS log based recoveryBest practices for DB2 for z/OS log based recovery
Best practices for DB2 for z/OS log based recoveryFlorence Dubois
 
DB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and controlDB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and controlFlorence Dubois
 
Db2 and storage management (mullins)
Db2 and storage management (mullins)Db2 and storage management (mullins)
Db2 and storage management (mullins)Craig Mullins
 
Presentation db2 connections to db2 for z os
Presentation   db2 connections to db2 for z osPresentation   db2 connections to db2 for z os
Presentation db2 connections to db2 for z osxKinAnx
 
ALL ABOUT DB2 DSNZPARM
ALL ABOUT DB2 DSNZPARMALL ABOUT DB2 DSNZPARM
ALL ABOUT DB2 DSNZPARMIBM
 
Introduction of ISPF
Introduction of ISPFIntroduction of ISPF
Introduction of ISPFAnil Bharti
 
DB2 for z/O S Data Sharing
DB2 for z/O S  Data  SharingDB2 for z/O S  Data  Sharing
DB2 for z/O S Data SharingSurekha Parekh
 
Z OS IBM Utilities
Z OS IBM UtilitiesZ OS IBM Utilities
Z OS IBM Utilitieskapa rohit
 
DB2 Interview Questions - Part 1
DB2 Interview Questions - Part 1DB2 Interview Questions - Part 1
DB2 Interview Questions - Part 1ReKruiTIn.com
 
DB2 for z/OS Real Storage Monitoring, Control and Planning
DB2 for z/OS Real Storage Monitoring, Control and PlanningDB2 for z/OS Real Storage Monitoring, Control and Planning
DB2 for z/OS Real Storage Monitoring, Control and PlanningJohn Campbell
 
Presentation db2 best practices for optimal performance
Presentation   db2 best practices for optimal performancePresentation   db2 best practices for optimal performance
Presentation db2 best practices for optimal performancesolarisyougood
 
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)Florence Dubois
 
Parallel Sysplex Implement2
Parallel Sysplex Implement2Parallel Sysplex Implement2
Parallel Sysplex Implement2ggddggddggdd
 
JCL FOR FRESHERS
JCL FOR FRESHERSJCL FOR FRESHERS
JCL FOR FRESHERSNirmal Pati
 
JCL UTILITIES IEBCOPY
JCL UTILITIES IEBCOPYJCL UTILITIES IEBCOPY
JCL UTILITIES IEBCOPYjanaki ram
 

Was ist angesagt? (20)

Best practices for DB2 for z/OS log based recovery
Best practices for DB2 for z/OS log based recoveryBest practices for DB2 for z/OS log based recovery
Best practices for DB2 for z/OS log based recovery
 
DB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and controlDB2 for z/OS - Starter's guide to memory monitoring and control
DB2 for z/OS - Starter's guide to memory monitoring and control
 
Db2 and storage management (mullins)
Db2 and storage management (mullins)Db2 and storage management (mullins)
Db2 and storage management (mullins)
 
Presentation db2 connections to db2 for z os
Presentation   db2 connections to db2 for z osPresentation   db2 connections to db2 for z os
Presentation db2 connections to db2 for z os
 
ALL ABOUT DB2 DSNZPARM
ALL ABOUT DB2 DSNZPARMALL ABOUT DB2 DSNZPARM
ALL ABOUT DB2 DSNZPARM
 
Introduction of ISPF
Introduction of ISPFIntroduction of ISPF
Introduction of ISPF
 
DB2 for z/O S Data Sharing
DB2 for z/O S  Data  SharingDB2 for z/O S  Data  Sharing
DB2 for z/O S Data Sharing
 
Mainframe interview
Mainframe interviewMainframe interview
Mainframe interview
 
Z OS IBM Utilities
Z OS IBM UtilitiesZ OS IBM Utilities
Z OS IBM Utilities
 
Ipl process
Ipl processIpl process
Ipl process
 
DB2 on Mainframe
DB2 on MainframeDB2 on Mainframe
DB2 on Mainframe
 
DB2 Interview Questions - Part 1
DB2 Interview Questions - Part 1DB2 Interview Questions - Part 1
DB2 Interview Questions - Part 1
 
DB2 for z/OS Real Storage Monitoring, Control and Planning
DB2 for z/OS Real Storage Monitoring, Control and PlanningDB2 for z/OS Real Storage Monitoring, Control and Planning
DB2 for z/OS Real Storage Monitoring, Control and Planning
 
Skillwise JCL
Skillwise JCLSkillwise JCL
Skillwise JCL
 
Presentation db2 best practices for optimal performance
Presentation   db2 best practices for optimal performancePresentation   db2 best practices for optimal performance
Presentation db2 best practices for optimal performance
 
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
Db2 for z/OS and FlashCopy - Practical use cases (June 2019 Edition)
 
Parallel Sysplex Implement2
Parallel Sysplex Implement2Parallel Sysplex Implement2
Parallel Sysplex Implement2
 
JCL FOR FRESHERS
JCL FOR FRESHERSJCL FOR FRESHERS
JCL FOR FRESHERS
 
Jcl
JclJcl
Jcl
 
JCL UTILITIES IEBCOPY
JCL UTILITIES IEBCOPYJCL UTILITIES IEBCOPY
JCL UTILITIES IEBCOPY
 

Andere mochten auch

Basic concept of jcl
Basic concept of jclBasic concept of jcl
Basic concept of jclAnil Bharti
 
Planning and executing a DB2 11 for z/OS Migration by Ian Cook
Planning and executing a DB2 11 for z/OS  Migration  by Ian Cook Planning and executing a DB2 11 for z/OS  Migration  by Ian Cook
Planning and executing a DB2 11 for z/OS Migration by Ian Cook Surekha Parekh
 
DB2 11 for z/OS Migration Planning and Early Customer Experiences
DB2 11 for z/OS Migration Planning and Early Customer ExperiencesDB2 11 for z/OS Migration Planning and Early Customer Experiences
DB2 11 for z/OS Migration Planning and Early Customer ExperiencesJohn Campbell
 
Mainframe Architecture & Product Overview
Mainframe Architecture & Product OverviewMainframe Architecture & Product Overview
Mainframe Architecture & Product Overviewabhi1112
 
DB2 10 & 11 for z/OS System Performance Monitoring and Optimisation
DB2 10 & 11 for z/OS System Performance Monitoring and OptimisationDB2 10 & 11 for z/OS System Performance Monitoring and Optimisation
DB2 10 & 11 for z/OS System Performance Monitoring and OptimisationJohn Campbell
 
Compression for DB2 for z/OS
Compression for DB2 for z/OS Compression for DB2 for z/OS
Compression for DB2 for z/OS Willie Favero
 
Application trends db2 day 2015 jorn
Application trends   db2 day 2015 jornApplication trends   db2 day 2015 jorn
Application trends db2 day 2015 jornPeter Schouboe
 
S3 l5 db2 - process model
S3 l5   db2 - process modelS3 l5   db2 - process model
S3 l5 db2 - process modelMohammad Khan
 
DB2 Systems Programming Tools of the Trade NA07B03
DB2 Systems Programming Tools of the Trade NA07B03DB2 Systems Programming Tools of the Trade NA07B03
DB2 Systems Programming Tools of the Trade NA07B03Linda Hagedorn
 
Libro blanco espesantes essd
Libro blanco espesantes essdLibro blanco espesantes essd
Libro blanco espesantes essdLoluca Tascón
 
Best Practices For Optimizing DB2 Performance Final
Best Practices For Optimizing DB2 Performance FinalBest Practices For Optimizing DB2 Performance Final
Best Practices For Optimizing DB2 Performance FinalDatavail
 
Db2 zos-sharing
Db2 zos-sharingDb2 zos-sharing
Db2 zos-sharingwetwind55
 
CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...
CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...
CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...CA Technologies
 
How To Master PACBASE For Mainframe In Only Seven Days
How To Master PACBASE For Mainframe In Only Seven DaysHow To Master PACBASE For Mainframe In Only Seven Days
How To Master PACBASE For Mainframe In Only Seven DaysSrinimf-Slides
 
The Five R's: There Can be no DB2 Performance Improvement Without Them!
The Five R's: There Can be no DB2 Performance Improvement Without Them!The Five R's: There Can be no DB2 Performance Improvement Without Them!
The Five R's: There Can be no DB2 Performance Improvement Without Them!Craig Mullins
 
IBM DB2 Analytics Accelerator Trends & Directions by Namik Hrle
IBM DB2 Analytics Accelerator  Trends & Directions by Namik Hrle IBM DB2 Analytics Accelerator  Trends & Directions by Namik Hrle
IBM DB2 Analytics Accelerator Trends & Directions by Namik Hrle Surekha Parekh
 

Andere mochten auch (17)

Basic concept of jcl
Basic concept of jclBasic concept of jcl
Basic concept of jcl
 
Planning and executing a DB2 11 for z/OS Migration by Ian Cook
Planning and executing a DB2 11 for z/OS  Migration  by Ian Cook Planning and executing a DB2 11 for z/OS  Migration  by Ian Cook
Planning and executing a DB2 11 for z/OS Migration by Ian Cook
 
DB2 11 for z/OS Migration Planning and Early Customer Experiences
DB2 11 for z/OS Migration Planning and Early Customer ExperiencesDB2 11 for z/OS Migration Planning and Early Customer Experiences
DB2 11 for z/OS Migration Planning and Early Customer Experiences
 
Mainframe Architecture & Product Overview
Mainframe Architecture & Product OverviewMainframe Architecture & Product Overview
Mainframe Architecture & Product Overview
 
DB2 10 & 11 for z/OS System Performance Monitoring and Optimisation
DB2 10 & 11 for z/OS System Performance Monitoring and OptimisationDB2 10 & 11 for z/OS System Performance Monitoring and Optimisation
DB2 10 & 11 for z/OS System Performance Monitoring and Optimisation
 
Compression for DB2 for z/OS
Compression for DB2 for z/OS Compression for DB2 for z/OS
Compression for DB2 for z/OS
 
Application trends db2 day 2015 jorn
Application trends   db2 day 2015 jornApplication trends   db2 day 2015 jorn
Application trends db2 day 2015 jorn
 
S3 l5 db2 - process model
S3 l5   db2 - process modelS3 l5   db2 - process model
S3 l5 db2 - process model
 
Summary session 5
Summary session 5Summary session 5
Summary session 5
 
DB2 Systems Programming Tools of the Trade NA07B03
DB2 Systems Programming Tools of the Trade NA07B03DB2 Systems Programming Tools of the Trade NA07B03
DB2 Systems Programming Tools of the Trade NA07B03
 
Libro blanco espesantes essd
Libro blanco espesantes essdLibro blanco espesantes essd
Libro blanco espesantes essd
 
Best Practices For Optimizing DB2 Performance Final
Best Practices For Optimizing DB2 Performance FinalBest Practices For Optimizing DB2 Performance Final
Best Practices For Optimizing DB2 Performance Final
 
Db2 zos-sharing
Db2 zos-sharingDb2 zos-sharing
Db2 zos-sharing
 
CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...
CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...
CA ACF2™ and CA Top Secret® Part 1: The Road Leading to r16 and Capabilities ...
 
How To Master PACBASE For Mainframe In Only Seven Days
How To Master PACBASE For Mainframe In Only Seven DaysHow To Master PACBASE For Mainframe In Only Seven Days
How To Master PACBASE For Mainframe In Only Seven Days
 
The Five R's: There Can be no DB2 Performance Improvement Without Them!
The Five R's: There Can be no DB2 Performance Improvement Without Them!The Five R's: There Can be no DB2 Performance Improvement Without Them!
The Five R's: There Can be no DB2 Performance Improvement Without Them!
 
IBM DB2 Analytics Accelerator Trends & Directions by Namik Hrle
IBM DB2 Analytics Accelerator  Trends & Directions by Namik Hrle IBM DB2 Analytics Accelerator  Trends & Directions by Namik Hrle
IBM DB2 Analytics Accelerator Trends & Directions by Namik Hrle
 

Ähnlich wie DB2 for z/OS Architecture in Nutshell

The Art & Sience of Optimization
The Art & Sience of OptimizationThe Art & Sience of Optimization
The Art & Sience of OptimizationHertzel Karbasi
 
Tools for developing and monitoring SQL in DB2 for z/OS
Tools for developing and monitoring SQL in DB2 for z/OSTools for developing and monitoring SQL in DB2 for z/OS
Tools for developing and monitoring SQL in DB2 for z/OSSurekha Parekh
 
Performance Management in ‘Big Data’ Applications
Performance Management in ‘Big Data’ ApplicationsPerformance Management in ‘Big Data’ Applications
Performance Management in ‘Big Data’ ApplicationsMichael Kopp
 
DBA Basics guide
DBA Basics guideDBA Basics guide
DBA Basics guideazoznasser1
 
Improve DB2 z/OS Test Data Management
Improve DB2 z/OS Test Data ManagementImprove DB2 z/OS Test Data Management
Improve DB2 z/OS Test Data Managementsoftbasemarketing
 
RES Online Seminar Een gratis werkplek voor iedereen
RES Online Seminar Een gratis werkplek voor iedereenRES Online Seminar Een gratis werkplek voor iedereen
RES Online Seminar Een gratis werkplek voor iedereenRES Software Nederland
 
Intro to Big Data and NoSQL
Intro to Big Data and NoSQLIntro to Big Data and NoSQL
Intro to Big Data and NoSQLDon Demcsak
 
xTech2006_DB2onRails
xTech2006_DB2onRailsxTech2006_DB2onRails
xTech2006_DB2onRailswebuploader
 
David Loureiro - Presentation at HP's HPC & OSL TES
David Loureiro - Presentation at HP's HPC & OSL TESDavid Loureiro - Presentation at HP's HPC & OSL TES
David Loureiro - Presentation at HP's HPC & OSL TESSysFera
 
Creating an RAD Authoratative Data Environment
Creating an RAD Authoratative Data EnvironmentCreating an RAD Authoratative Data Environment
Creating an RAD Authoratative Data Environmentanicewick
 
Data Lake and the rise of the microservices
Data Lake and the rise of the microservicesData Lake and the rise of the microservices
Data Lake and the rise of the microservicesBigstep
 
Mainframe
MainframeMainframe
Mainframeshivas
 
Integration Platform For JMPS Using DDS
Integration Platform For JMPS Using DDSIntegration Platform For JMPS Using DDS
Integration Platform For JMPS Using DDSSupreet Oberoi
 
An overview of Microsoft data mining technology
An overview of Microsoft data mining technologyAn overview of Microsoft data mining technology
An overview of Microsoft data mining technologyMark Tabladillo
 
DB2 Design for High Availability and Scalability
DB2 Design for High Availability and ScalabilityDB2 Design for High Availability and Scalability
DB2 Design for High Availability and ScalabilitySurekha Parekh
 

Ähnlich wie DB2 for z/OS Architecture in Nutshell (20)

DBA101
DBA101DBA101
DBA101
 
The Art & Sience of Optimization
The Art & Sience of OptimizationThe Art & Sience of Optimization
The Art & Sience of Optimization
 
Tools for developing and monitoring SQL in DB2 for z/OS
Tools for developing and monitoring SQL in DB2 for z/OSTools for developing and monitoring SQL in DB2 for z/OS
Tools for developing and monitoring SQL in DB2 for z/OS
 
Performance Management in ‘Big Data’ Applications
Performance Management in ‘Big Data’ ApplicationsPerformance Management in ‘Big Data’ Applications
Performance Management in ‘Big Data’ Applications
 
DBA Basics guide
DBA Basics guideDBA Basics guide
DBA Basics guide
 
Improve DB2 z/OS Test Data Management
Improve DB2 z/OS Test Data ManagementImprove DB2 z/OS Test Data Management
Improve DB2 z/OS Test Data Management
 
RES Online Seminar Een gratis werkplek voor iedereen
RES Online Seminar Een gratis werkplek voor iedereenRES Online Seminar Een gratis werkplek voor iedereen
RES Online Seminar Een gratis werkplek voor iedereen
 
Intro to Big Data and NoSQL
Intro to Big Data and NoSQLIntro to Big Data and NoSQL
Intro to Big Data and NoSQL
 
xTech2006_DB2onRails
xTech2006_DB2onRailsxTech2006_DB2onRails
xTech2006_DB2onRails
 
David Loureiro - Presentation at HP's HPC & OSL TES
David Loureiro - Presentation at HP's HPC & OSL TESDavid Loureiro - Presentation at HP's HPC & OSL TES
David Loureiro - Presentation at HP's HPC & OSL TES
 
Creating an RAD Authoratative Data Environment
Creating an RAD Authoratative Data EnvironmentCreating an RAD Authoratative Data Environment
Creating an RAD Authoratative Data Environment
 
Ta3
Ta3Ta3
Ta3
 
notes
notesnotes
notes
 
Data Lake and the rise of the microservices
Data Lake and the rise of the microservicesData Lake and the rise of the microservices
Data Lake and the rise of the microservices
 
Db trends final
Db trends   finalDb trends   final
Db trends final
 
Mainframe
MainframeMainframe
Mainframe
 
Introduction to map reduce
Introduction to map reduceIntroduction to map reduce
Introduction to map reduce
 
Integration Platform For JMPS Using DDS
Integration Platform For JMPS Using DDSIntegration Platform For JMPS Using DDS
Integration Platform For JMPS Using DDS
 
An overview of Microsoft data mining technology
An overview of Microsoft data mining technologyAn overview of Microsoft data mining technology
An overview of Microsoft data mining technology
 
DB2 Design for High Availability and Scalability
DB2 Design for High Availability and ScalabilityDB2 Design for High Availability and Scalability
DB2 Design for High Availability and Scalability
 

Mehr von Cuneyt Goksu

Makine Düsünebilir mi
Makine Düsünebilir miMakine Düsünebilir mi
Makine Düsünebilir miCuneyt Goksu
 
Db2 for z os trends
Db2 for z os trendsDb2 for z os trends
Db2 for z os trendsCuneyt Goksu
 
Db2 analytics accelerator technical update
Db2 analytics accelerator  technical updateDb2 analytics accelerator  technical update
Db2 analytics accelerator technical updateCuneyt Goksu
 
Perfect trio : temporal tables, transparent archiving in db2 for z_os and idaa
Perfect trio : temporal tables, transparent archiving in db2 for z_os and idaaPerfect trio : temporal tables, transparent archiving in db2 for z_os and idaa
Perfect trio : temporal tables, transparent archiving in db2 for z_os and idaaCuneyt Goksu
 
How should I monitor my idaa
How should I monitor my idaaHow should I monitor my idaa
How should I monitor my idaaCuneyt Goksu
 
Ibm machine learning for z os
Ibm machine learning for z osIbm machine learning for z os
Ibm machine learning for z osCuneyt Goksu
 
Machine Learning for z/OS
Machine Learning for z/OSMachine Learning for z/OS
Machine Learning for z/OSCuneyt Goksu
 
Temporal Tables, Transparent Archiving in DB2 for z/OS and IDAA
Temporal Tables, Transparent Archiving in DB2 for z/OS and IDAATemporal Tables, Transparent Archiving in DB2 for z/OS and IDAA
Temporal Tables, Transparent Archiving in DB2 for z/OS and IDAACuneyt Goksu
 
IDUG NA 2014 / 11 tips for DB2 11 for z/OS
IDUG NA 2014 / 11 tips for DB2 11 for z/OSIDUG NA 2014 / 11 tips for DB2 11 for z/OS
IDUG NA 2014 / 11 tips for DB2 11 for z/OSCuneyt Goksu
 
Seçsi̇s sistemi hakkında değerlendirme ve öneriler
Seçsi̇s sistemi hakkında değerlendirme ve önerilerSeçsi̇s sistemi hakkında değerlendirme ve öneriler
Seçsi̇s sistemi hakkında değerlendirme ve önerilerCuneyt Goksu
 
Gaining Insight into
Gaining Insight intoGaining Insight into
Gaining Insight intoCuneyt Goksu
 
Identify SQL Tuning Opportunities
Identify SQL Tuning OpportunitiesIdentify SQL Tuning Opportunities
Identify SQL Tuning OpportunitiesCuneyt Goksu
 
Diagnose RIDPool Failures
Diagnose RIDPool FailuresDiagnose RIDPool Failures
Diagnose RIDPool FailuresCuneyt Goksu
 
Sosyal Medya ve Yeni Örgütlenmeler
Sosyal Medya ve Yeni ÖrgütlenmelerSosyal Medya ve Yeni Örgütlenmeler
Sosyal Medya ve Yeni ÖrgütlenmelerCuneyt Goksu
 
Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...
Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...
Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...Cuneyt Goksu
 
Denver 2012 -- After IDUG Conference
Denver 2012 -- After IDUG ConferenceDenver 2012 -- After IDUG Conference
Denver 2012 -- After IDUG ConferenceCuneyt Goksu
 
BIG DATA Nedir ve IBM Çözümleri.
BIG DATA Nedir ve IBM Çözümleri.BIG DATA Nedir ve IBM Çözümleri.
BIG DATA Nedir ve IBM Çözümleri.Cuneyt Goksu
 

Mehr von Cuneyt Goksu (20)

Home Office
Home OfficeHome Office
Home Office
 
Makine Düsünebilir mi
Makine Düsünebilir miMakine Düsünebilir mi
Makine Düsünebilir mi
 
WhatsApp nedir
WhatsApp nedirWhatsApp nedir
WhatsApp nedir
 
Db2 for z os trends
Db2 for z os trendsDb2 for z os trends
Db2 for z os trends
 
Db2 analytics accelerator technical update
Db2 analytics accelerator  technical updateDb2 analytics accelerator  technical update
Db2 analytics accelerator technical update
 
Perfect trio : temporal tables, transparent archiving in db2 for z_os and idaa
Perfect trio : temporal tables, transparent archiving in db2 for z_os and idaaPerfect trio : temporal tables, transparent archiving in db2 for z_os and idaa
Perfect trio : temporal tables, transparent archiving in db2 for z_os and idaa
 
How should I monitor my idaa
How should I monitor my idaaHow should I monitor my idaa
How should I monitor my idaa
 
Ibm machine learning for z os
Ibm machine learning for z osIbm machine learning for z os
Ibm machine learning for z os
 
Machine Learning for z/OS
Machine Learning for z/OSMachine Learning for z/OS
Machine Learning for z/OS
 
Temporal Tables, Transparent Archiving in DB2 for z/OS and IDAA
Temporal Tables, Transparent Archiving in DB2 for z/OS and IDAATemporal Tables, Transparent Archiving in DB2 for z/OS and IDAA
Temporal Tables, Transparent Archiving in DB2 for z/OS and IDAA
 
IDUG NA 2014 / 11 tips for DB2 11 for z/OS
IDUG NA 2014 / 11 tips for DB2 11 for z/OSIDUG NA 2014 / 11 tips for DB2 11 for z/OS
IDUG NA 2014 / 11 tips for DB2 11 for z/OS
 
Seçsi̇s sistemi hakkında değerlendirme ve öneriler
Seçsi̇s sistemi hakkında değerlendirme ve önerilerSeçsi̇s sistemi hakkında değerlendirme ve öneriler
Seçsi̇s sistemi hakkında değerlendirme ve öneriler
 
Gaining Insight into
Gaining Insight intoGaining Insight into
Gaining Insight into
 
Identify SQL Tuning Opportunities
Identify SQL Tuning OpportunitiesIdentify SQL Tuning Opportunities
Identify SQL Tuning Opportunities
 
Diagnose RIDPool Failures
Diagnose RIDPool FailuresDiagnose RIDPool Failures
Diagnose RIDPool Failures
 
Sosyal Medya ve Yeni Örgütlenmeler
Sosyal Medya ve Yeni ÖrgütlenmelerSosyal Medya ve Yeni Örgütlenmeler
Sosyal Medya ve Yeni Örgütlenmeler
 
Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...
Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...
Understanding IBM Tivoli OMEGAMON for DB2 Batch Reporting, Customization and ...
 
Denver 2012 -- After IDUG Conference
Denver 2012 -- After IDUG ConferenceDenver 2012 -- After IDUG Conference
Denver 2012 -- After IDUG Conference
 
BIG DATA Nedir ve IBM Çözümleri.
BIG DATA Nedir ve IBM Çözümleri.BIG DATA Nedir ve IBM Çözümleri.
BIG DATA Nedir ve IBM Çözümleri.
 
Nato ve medya
Nato ve medyaNato ve medya
Nato ve medya
 

Kürzlich hochgeladen

COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 

Kürzlich hochgeladen (20)

COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 

DB2 for z/OS Architecture in Nutshell

  • 1. CENG497 - DB2 for z/OS Seminar – May 26th 2011 – Middle East Technical University, Ankara DB2 for z/OS Architecture in Nutshell Cüneyt Göksu DB2 SME, Information Champion, IBM Gold Consultant 1
  • 2. Who am I ? BS, Computer Science, YTU, Istanbul, 1990 MBA, Marmara University, Istanbul, 1992 MS in CS, IIT, Chicago, 1994 20+ years in “Information Management” Technologies 1996 IDUG (International DB2 Users Group) 2004 TDUG (Turkish DB2 Users Group) 2008-2010 IBM Data Champion 2009 IBM Gold Consultant 2011 IDUG BOD 2
  • 3. Mainframe – Legend Never Ends •1964: IBM® System/360™ •Obsolete? New trend? •Trusted for mission-critical data •Capability to maintain both old and new applications •SOA (Service-Oriented Architecture) enabled •z/OS – Most widely used mainframe operating system •DB2 for z/OS – IBM’s mainframe relational database management system – Since 1983! 3
  • 4. 4
  • 5. 5
  • 6. 6
  • 7. What is DB2 for z/OS? • Relational Data Base Management System (RDBMS) – Data base consists of tables • Simple concepts • Dynamic relationships – Structured query language (SQL) • High level – Data Manipulation Language (DML) – Data Definition Language (DDL) – Data Control Language (DCL) • User specifies WHAT not HOW – RDBMS facilities • Integrity • Dynamic definition of DB2 objects • Active catalog • Recovery / restart • Continuous operations • Security • Interactive tools 7
  • 8. The system’s view • Distributed Utility Applications Utility WebSphere TSO BATCH DB2 CICS IMS Application Server Trxb Trxa Prog2 Appl2 Appl1 Trx2 Prog1 Trx1 • DB2 receives MANY requests from MANY user programs to access potentially the SAME data • Besides USER PROGRAMS, DB2 also receives requests from UTILITIES 8
  • 9. 9
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. 15
  • 16. 16
  • 17. 17
  • 18. 18
  • 19. 19
  • 20. 20
  • 21. 21
  • 22. 22
  • 23. 23
  • 24. 24
  • 25. 25
  • 26. 26
  • 27. 27
  • 28. 28
  • 29. 29
  • 30. 30
  • 31. 31
  • 32. 32
  • 33. 33
  • 34. 34
  • 35. 35
  • 36. 36
  • 37. 37
  • 38. 38
  • 39. 39
  • 40. 40
  • 41. 41
  • 42. 42
  • 43. 43
  • 44. 44
  • 45. 45
  • 46. 46
  • 47. 47
  • 48. 48
  • 49. 49
  • 50. The Risks of Database Failures 50
  • 51. 51
  • 52. 52
  • 53. 53
  • 54. 54
  • 55. 55
  • 56. 56
  • 57. 57
  • 58. COPY/RECOVER utilities RECOVER UPDATE UPDATE DELETE Log Time COPY DISK CRASH IMAGE COPY 58
  • 59. 59
  • 60. 60
  • 62. 62
  • 63. 63
  • 64. 64
  • 65. 65
  • 66. 66
  • 67. 67
  • 68. 68
  • 69. 69
  • 70. 70
  • 71. 71
  • 72. 72
  • 73. 73
  • 74. 74
  • 75. 75
  • 77. Data integrity and concurrency EMPLOYEE Table Prog1 Prog2 1 EXCLUSIVE Row LOCK UPDATE STOP ... WAIT ... 2 RELEASE .. LOCK SELECT . OK 3 SHARED LOCK COMMIT 4 DB2 must maintain data integrity and also provide maximum concurrency 77
  • 78. 78
  • 79. 79
  • 80. 80
  • 81. 81
  • 82. 82
  • 83. 83
  • 84. 84
  • 85. 85
  • 86. 86
  • 87. 87
  • 89. Roles and interfaces in DB2 Security Administrator Operations System Data Administration Administrator Capacity Functional Technical Planner Designer Designer z/OS Database Sysprog Administrator Programmer CICS/IMS Sysprog TP Specialist 89
  • 90. 90
  • 91. 91
  • 92. 92
  • 93. 93
  • 95. Location transparency, Scalability, Phased growth, Portability of application 95
  • 96. 96
  • 97. 97
  • 98. 98
  • 99. 99
  • 100. 100
  • 101. 101
  • 102. 102
  • 103. 103
  • 104. 104
  • 105. 105
  • 106. 106
  • 107. 107
  • 108. DB2 for z/OS data sharing z/OS z/OS z/OS DB2 DB2 DB2 z/OS z/OS DB2 SHARED DB2 DASD z/OS z/OS z/OS DB2 DB2 DB2 • Improved availability • Incremental processing growth • Huge queries feasible • Configuration flexibility • SYSPLEX hardware required • Dynamic workload balancing • Single shared catalog 108
  • 109. CENG497 - DB2 for z/OS Seminar – May 26th 2011 – Middle East Technical University, Ankara Q&A Cüneyt Göksu DB2 SME, Information Champion, IBM Gold Consultant Cuneyt.Goksu@Gmail.com 109