OPT 31

OUTPUT BUFFER 114

P

partitioned data sets 22

path

93

 

peer to peer remote copy

93

peer-to-peer remote copy

96

policy

80

 

PPRC

93, 96

 

prefetch quantity 106

 

Q

queuing time 128 quickwrite 92

R

RAID

85

 

 

 

read operations

104

read record caching 91

recall

30

21, 95

RECOVER

recovery data sets

11, 17

recovery strategy

18

remote copy

95

 

REORG 79

 

 

 

response time

128

RMF

119

 

 

 

cache reports

125

CHAN report

125

device report

125

IOQ report

125

report analysis

149

report consolidation 132 storage server reports 223

RMF tools 133

RMM

31

RVA

45

S

sample naming structure for image copies 24

SCDBARCH

191

 

 

 

SCDS

35

 

 

 

 

SDM

99

 

 

 

 

sequential caching

92

 

 

sequential data striping

101

 

sequential prefetch

104

 

 

sequential prefetch threshold

107

service level agreemen

78

 

service time

128

 

 

 

SETCACHE

91

 

 

 

SMF record type 42

32

 

 

SMS

 

 

 

 

 

assigning classes to DB2

53

base configuration 35

 

classes

38

 

 

 

coded names 174

 

 

control data sets

35

 

 

converting DB2 data

78

 

 

 

 

data class

38

 

 

 

 

 

 

 

 

DB2 recovery data sets

63

 

 

 

 

DB2 system databases

60

 

 

 

 

distribution of partitioned table spaces

178

 

examples of constructs

46

 

 

 

 

examples of table space management

47

 

existing names

 

165

 

 

 

 

 

 

imbedding codes into names of DB2 objects

56

implementation prerequisites

77

 

 

 

management class

41

 

 

 

 

 

management of DB2 databases

47

 

 

managing partitioned table space

56

 

 

naming standard

46

 

 

 

 

 

storage class

40

 

 

 

 

 

 

storage group

43

 

 

 

 

 

 

storage management policy

36

 

 

 

user database types

57

 

 

 

 

user distribution of partitioned table spaces

181

SMS benefits

75

 

 

 

 

 

 

 

 

SMS configuration

 

35

 

 

 

 

 

 

SMS management goals

76

 

 

 

 

SMS storage group

52

 

 

 

 

 

 

SnapShot

87

 

 

 

 

 

 

 

 

 

source control data set

35

 

 

 

 

 

space management

29

 

 

 

 

 

 

space utilization report

138

 

 

 

 

SPTH

107

 

 

 

 

 

 

 

 

 

storage class example for DB2

48

 

 

 

storage device

90

 

 

 

 

 

 

 

storage group

13, 43

 

 

 

 

 

 

types

43

 

 

 

 

 

 

 

 

 

storage group example for DB2

50

 

 

 

Storage Management Facility 26

 

 

 

storage server

89

 

 

 

 

 

 

 

 

storage server analysis

147

 

 

 

 

striping

101

 

 

 

 

 

 

 

 

 

subsystem identifier

90

 

 

 

 

 

 

summary of considerations

5

 

 

 

 

SUSIBM.SYSCOPY

16

 

 

 

 

 

suspend

99

 

 

 

 

 

 

 

 

 

suspend time

145

 

 

 

 

 

 

 

synchronous copy

 

98

 

 

 

 

 

 

synchronous read

104

 

 

 

 

 

 

synchronous write

 

108

 

 

 

 

 

 

SYSIBM.SYSLGRNX 16

 

 

 

 

 

System Data Mover

99

 

 

 

 

 

 

system managed storage

25

 

 

 

 

T

table 12

table space 11, 12 creation 13 partition sizes 12

table space allocation using SMS 165 table spaces

system 11 user 11

test cases 161 test database 59

249

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Image 271
IBM 5695-DF1, 5655-DB2 manual 249, Scds SDM

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.