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. 

Eclipse is commonly used alongside IBM Data Studio for developing and managing DB2 databases. IBM Data Studio is built on top of the Eclipse platform, providing a seamless integration of development tools specifically tailored for working with DB2 databases. 

The SQL statement used to create a user-defined function in DB2 is "CREATE FUNCTION". This statement allows developers to define custom functions tailored to specific requirements. 

DB2 primarily uses a hash key for data distribution in partitioning. This involves hashing the data using a hash function and distributing it across partitions based on the result of the hash function. 

DB2 provides built-in functions specifically designed for querying and manipulating semi-structured data types such as XML and JSON. These functions enable developers to perform various operations on semi-structured data stored in DB2 databases, such as extracting values, navigating hierarchical structures, and transforming data formats. 

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. 

Clustering in DB2 is primarily used for optimizing query performance. It involves physically storing related rows together on disk to minimize disk I/O operations and improve the efficiency of data retrieval during queries. 

Attributes within tags in DB2 serve the purpose of providing additional information about the data contained within the tags. This could include metadata such as data types, lengths, or any other relevant details about the data being represented. These attributes enhance the clarity and context of the data within the XML document. 

The Reorg utility in DB2 is responsible for reorganizing the data and indexes within a tablespace or a table to optimize storage allocation and improve performance. During this process, the utility rearranges data pages, rebuilds indexes, and updates statistics, resulting in improved storage efficiency and query performance. By periodically running the Reorg utility, DBAs can ensure that data is stored in the most optimal manner, reducing storage overhead and enhancing overall system performance. 

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.