CLUSTER ----------

DB2P.DSNDBC.BRANCH.C0BRCH01.I0001.A001

IN-CAT ---

UCAT.VSBOX09

 

 

 

HISTORY

 

 

 

 

SMSDATA

 

 

 

 

STORAGECLASS ---

SCDBCRIT

MANAGEMENTCLASS---

MCDB20

DATACLASS --------

(NULL)

LBACKUP

---0000.000.0000

VOLUME

 

 

 

 

VOLSER------------

RV3CU3

 

 

 

CLUSTER -------

DB2P.DSNDBC.BTRANS.M1CHECK.I0001.A001

IN-CAT ---

UCAT.VSBOX09

 

 

 

HISTORY

 

 

 

 

SMSDATA

 

 

 

 

STORAGECLASS ----

SCDBMED

MANAGEMENTCLASS---

MCDB21

DATACLASS --------

(NULL)

LBACKUP

---0000.000.0000

VOLUME

 

 

 

 

VOLSER------------

RV3CU1

 

 

 

CLUSTER -------

DB2P.DSNDBC.CUSTOMER.F0CUST01.I0001.A001

IN-CAT ---

UCAT.VSBOX09

 

 

 

HISTORY

 

 

 

 

SMSDATA

 

 

 

 

STORAGECLASS ---

SCDBFAST

MANAGEMENTCLASS---

MCDB20

DATACLASS --------

(NULL)

LBACKUP

---0000.000.0000

VOLUME

 

 

 

 

VOLSER------------

RV1CU0

 

 

 

CLUSTER -------

DB2D.DSNDBC.TESTRANS.T2SUPPLY.I0001.A001

IN-CAT ---

UCAT.VSBOX09

 

 

 

HISTORY

 

 

 

 

SMSDATA

 

 

 

 

STORAGECLASS ---

SCDBTEST

MANAGEMENTCLASS---

MCDB22

DATACLASS --------

(NULL)

LBACKUP

---0000.000.0000

VOLUME

 

 

 

 

VOLSER------------

RV1CU2

 

 

 

Figure 107. Test Case 4 - IDCAMS LISTCAT Extract

A.6 Partitioned Table Space Using SMS Distribution

Test case 5 illustrates how it is possible to define a partitioned table space, allowing SMS to control the allocation of each separate partition.

The aim is to distribute the different data sets across multiple disk volumes and access paths, in order to obtain the benefits of DB2 parallelism. This example defines a partitioned table space with eight partitions, using an existing naming convention.

178Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual Partitioned Table Space Using SMS Distribution, UCAT.VSBOX09 History Smsdata

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.