DUMP

 

94

 

DFSMShsm

28

 

DFSMSopt

 

31

 

DFSMSrmm

31

 

DFW 91

 

 

 

directory 15

 

disk architecture

85

DMTH 106

 

DSN1COPY

22

 

DSNDB01

 

15

 

DSNDB01.SYSLGRNX 16

DSNDB06

 

15

 

DSNDB07

 

15

 

DSNJLOGF

115

 

DSNTIPD

15

 

DSNTIPE

92

 

DSNTIPL 112, 116, 117

DSNTIPN

17, 117

DSS 27

 

 

 

components

27

filtering

 

28

 

dual copy

93

 

DWQT 107, 108

Dynamic Cache Management Enhanced 92

dynamic prefetch

105

E

ECKD

86

ESCON

86, 93

EXT 25

extended remote copy 96

F

FBA 86

Fiber Connection Architecture 93

G

GDPS 97

geographically dispersed parallel sysplex 97 guaranteed space 40, 44, 45, 46, 57, 77

H

HDA 86

 

high level qualifier 46, 54

hiper pools

103

HRECALL

30

HSM 28

 

I

I/O activity report

123

I/O suspensions

121

ICL 92

 

 

IDCAMS 15, 39, 40, 79, 189

ALLOCATE

38

DEFINE

38, 41

DEFINE CLUSTER 14

LISTCAT

174

SETCACHE 91

 

image copies

194

 

 

image copy

20

 

 

image copy and SMS

71

image copy data sets

 

naming convention

24

image copy options

20

immediate write threshold 108

index 13

 

 

 

index space

13

 

 

creation

13

92, 128

inhibit cache load

instrumentation facility componenent identifiers 123

interval migration

30

introduction

3

 

ISMF

26

 

 

ISMF test cases

171

IWTH

108

 

 

IXFP 89, 119, 245

report analysis

152

reporting

135

IXFP view 152

 

L

LCU 90

least recently used algorithm 91

list prefetch

105

 

 

log activity report

122

 

log data sets

 

 

 

preformatting

115

 

log read 115

 

 

log read performance

116

log record

 

 

 

synchronous write

112

log records

111

 

 

asynchronous write

112

log write performance

114

logical control unit

89

 

LOGLOAD

109

 

 

LOGONLY option

22

 

low level qualifier

46

 

LSF 87

 

 

 

M

management class example for DB2 49 ML2 42

MODIFY 78

N

naming convention

22

table spaces and index spaces 23

NaviQuest for MVS

81

NOMIGRATE 42

 

nonvolatile storage

90

NVS 90

 

O

online database 58

248Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual Dump

5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.