Views in DB2 are primarily used to simplify complex queries by presenting a subset of data from one or more tables. They can hide the complexity of underlying table structures and provide a simplified interface for users to access data. 

DB2 employs various concurrency control mechanisms, such as locking and isolation levels, to manage data integrity issues arising from concurrent transactions. By using locks, DB2 ensures that only one transaction can access a specific resource at a time, preventing conflicting updates and maintaining data consistency. Additionally, DB2 supports different isolation levels, allowing users to control the visibility of changes made by concurrent transactions to address consistency requirements. 

DB2 ensures data integrity through various mechanisms such as referential integrity, constraints, and data validation rules. Referential integrity constraints enforce relationships between tables to maintain data consistency, while constraints and validation rules define permissible data values and ensure data accuracy. By adhering to these principles, DB2 maintains the integrity and reliability of the stored data. 

Stored procedures in DB2 are commonly used to encapsulate business logic. Business logic refers to the rules and processes that govern the manipulation and management of data within an application. This can include calculations, validations, and other operations. 

The INSERT INTO statement adds new records (rows) to a table in a database. It is used to insert a new row of data into a specified table with specified values for each column. 

IBM Data Studio is designed to assist developers in developing applications for DB2 databases. It provides tools and features for writing and debugging SQL queries, designing and modifying database schemas, monitoring database performance, and optimizing queries. Hence, it enhances developers' productivity by providing a comprehensive environment for all stages of application development, from design to deployment. 

High cardinality columns in indexes in DB2 require special storage considerations. High cardinality columns contain many unique values, which may lead to increased storage requirements and indexing overhead. 

XPath plays a crucial role in querying XML data in DB2 by providing a syntax for navigating through the hierarchical structure of XML documents. It allows users to pinpoint specific elements or attributes within an XML document for retrieval or manipulation. 

Data compression in DB2 works by identifying and removing redundant information within the dataset. This can include eliminating duplicate records, reducing unused space, or removing any unnecessary data that might be present, ultimately leading to a reduction in the overall size of the data stored in the database. 

Scrollable cursors in DB2 offer the advantage of fetching rows in both forward and backward directions. This is useful when navigating through large result sets, as it enables efficient data retrieval and manipulation. By using a scrollable cursor, developers can easily move back and forth within the result set without re-executing the query. This feature enhances application performance and user experience, especially in scenarios where users need to browse through extensive data sets.