LOGCOPY Standard part of the name

nActive log copy, 1 or 2

mmActive log number, 01 to 31

3.8.4Archive Log and BSDS Backup Names

The default names for archive log and BSDS backup data sets have the following optional structure:

Table 6. Archive Log and BSDS Backup Names

hlq.ARCHLOGn.Dyyddd.Thhmmsst.axxxxxx

hlq

VSAM catalog high level qualifier

ARCHLOG Standard part of the name

nArchive log copy, 1 or 2

Dyyddd Date, yy=year (2 or 4 digits), ddd=day of year

Thhmmsst Time, hh=hour, mm=minute, ss=seconds, t=tenths

aA=Archive log, B=BSDS backup

xxxxxxFile sequence

Dyyddd and Thhmmsst are optional qualifiers defined in DSNZPARM in the TIMESTAMP ARCHIVES option (YES or NO) of the DSNTIPH panel, and Dyyddd can assume the format Dyyyyddd if the TIMESTAMP ARCHIVES option is set to EXT (extended).

3.8.5 Image Copy Names

The names for image copy data sets are not defined by DB2. Each installation needs to define a standard naming convention to make these data sets distinct and significant. Table 7 on page 24 shows a sample naming structure for image copies.

Table 7. Sample Image Copy Names

 

hlq.wxiyyddd.Thhmmss.ssssss.Ammm

 

 

hlq

VSAM catalog high level qualifier

w

Copy type, P=Primary, S=Secondary copy

x

Copy requirement, S=Standard, H=Critical

i

Copy frequency, D=Daily, W=Weekly, M=Monthly

yyddd

Date, yy=year, ddd=day of year

Thhmmsst

Time, hh=hour, mm=minute, ss=seconds

sssssstable space or index space name

Ammm Data set identifier

24Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual Archive Log and Bsds Backup Names, Image Copy Names

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.