The primary objective of normalization in DB2 is to minimize redundancy by organizing data efficiently. Reducing redundancy helps improve data integrity, save storage space, and ensure consistency in the database. 

User-defined functions can contribute to improving performance in DB2 applications by optimizing for reusability. When functions are designed to be reused across multiple queries and applications, it reduces the need for redundant code, leading to improved code maintenance and enhanced application performance. Additionally, by encapsulating frequently used logic within functions, developers can streamline query execution and promote code modularity. 

A scrollable cursor in DB2 allows for navigating both forward and backward through the result set obtained from a query. This feature provides flexibility to applications in iterating over query results in different directions based on their requirements. 

OLE DB (Object Linking and Embedding Database) plays a crucial role in integrating DB2 with Microsoft applications. It provides a set of COM (Component Object Model) interfaces that enable applications to access and manipulate data from various data sources, including DB2. OLE DB offers a unified way for Microsoft applications such as Excel, Access, and SQL Server to communicate with DB2 databases, allowing seamless data exchange and integration. By using OLE DB, developers can build robust and scalable solutions that leverage the capabilities of both DB2 and Microsoft applications. 

A cursor with a FOR UPDATE clause allows for updating data. This clause is used to lock the rows returned by the cursor for update operations, enabling modifications to the data directly through the cursor. It is commonly used in scenarios where data modifications need to be made based on specific criteria. 

In DB2, a view represents a virtual table that does not store data physically but rather provides a logical representation of data stored in one or more underlying tables. Queries against views are processed by fetching data from the underlying tables based on the view's definition. 

The SQL command used to create a view in DB2 is CREATE VIEW. This command allows users to define a virtual table based on the result set of a SELECT statement. 

RESTful APIs offer a modern and flexible approach to data access. They facilitate communication between different systems over the internet, allowing clients to interact with databases through standard HTTP methods. With RESTful APIs, developers can access and manipulate data stored in DB2 databases from various platforms and programming languages, fostering interoperability and ease of integration. This approach simplifies application development by providing a uniform interface for accessing database resources, promoting agility and scalability in software development projects. 

When designing triggers in DB2, it's crucial to consider various factors to avoid performance issues. One such factor is the frequency of trigger execution. Triggers that fire frequently can impact database performance, especially if they involve complex logic or operations on large data sets. The complexity of trigger logic is another consideration. Complex triggers may require more CPU and memory resources, leading to performance degradation. Additionally, the size of the affected data set can impact trigger performance, as triggers must process all affected rows. Therefore, it's essential to carefully analyze these factors and optimize trigger design to minimize performance overhead in a DB2 environment. 

The DB2 Command Line Processor (CLP) offers batch capabilities for executing SQL commands and scripts. It allows users to run SQL commands and scripts in batch mode, enabling automation and efficient execution of tasks without the need for manual intervention.