database name (database_name). The information in the database directory, along with the information in the node directory, is used on the DB2 Connect workstation to establish a connection to the remote database.

To catalog a database on the DB2 Connect Workstation, perform the following steps.

Step 1. Log on to the system as a user with System Administrative (SYSADM) or System Controller (SYSCTRL) authority.

Step 2. Fill in the Your Value column in the following worksheet.

Table 6. Worksheet: Parameter Values for Cataloging Databases

Parameter

Description

Sample Value

Your Value

 

 

 

 

Database name

The local DCS database name

ny

 

(database_name)

(local_dcsname) of the remote

 

 

 

database. You speci®ed this

 

 

 

when you catalogued the DCS

 

 

 

database directory. For example,

 

 

 

ny.

 

 

 

 

 

 

Database alias

An arbitrary local nickname for

localny

 

(database_alias)

the remote database. If you do

 

 

 

not provide one, the default is

 

 

 

the same as the database name

 

 

 

(database_name). This is the name

 

 

 

that you use when connecting to

 

 

 

the database from a client.

 

 

 

 

 

 

Node name

The name of the node directory

db2node

 

(node_name)

entry that describes where the

 

 

 

database resides. Use the same

 

 

 

value for node name (node_name)

 

 

 

that you used to catalog the

 

 

 

node in the previous step.

 

 

 

 

 

 

Step 3. Catalog the database by entering the following commands:

catalog database database_name as database_alias at node node_name terminate

For example, to catalog the DCS known database ny so that it has the local database alias localny, on the node db2node, enter the following commands:

catalog database ny as localny at node db2node terminate

Chapter 7. Con®guring APPC Communications on the DB2 Connect Workstation 93

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IBM GC09-2830-00 manual Catalog the database by entering the following commands
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GC09-2830-00 specifications

The IBM GC09-2830-00 is a crucial technical document that details the features, technologies, and operational characteristics of the IBM Enterprise Storage System. This guide is essential for IT professionals, data engineers, and system administrators who work with IBM storage solutions.

One of the main features of the IBM GC09-2830-00 is its focus on providing a comprehensive overview of the IBM storage system's architecture. It highlights the seamless integration of various storage technologies, including the IBM Spectrum Storage Suite, which supports a range of deployment models from on-premises to hybrid cloud environments.

The document outlines the storage system's capabilities, such as high availability, which ensures that data is accessible at all times. This feature is essential for businesses that rely on continuous operation and minimal downtime. The IBM GC09-2830-00 also emphasizes the importance of scalability, allowing organizations to adjust their storage solutions as their data needs grow.

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In terms of performance, the document illustrates the efficient data handling capabilities of the IBM storage system. It incorporates advanced caching and tiering technologies that optimize storage resources, improving response times for applications and reducing latency.

The IBM GC09-2830-00 also discusses the user-friendly management interfaces that simplify the administration of storage resources. The integration of artificial intelligence and machine learning capabilities further enhances system management, providing predictive analytics and insights to help admins address potential issues before they impact operations.

Finally, the document emphasizes IBM's commitment to sustainability, outlining how its storage solutions minimize energy consumption and promote efficient resource usage. This characteristic aligns with the growing demand for environmentally responsible technology solutions.

In summary, the IBM GC09-2830-00 is a pivotal resource for understanding the powerful features and technologies of IBM's Enterprise Storage System, equipping users with the knowledge to leverage these tools effectively in their data management strategies.
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