Considering DB2 editions and versions during the initial planning phase of a new application is crucial for ensuring optimal performance, scalability, and compatibility with the chosen database platform. By addressing these considerations early in the development lifecycle, the software development team can avoid potential pitfalls, streamline integration efforts, and maximize the value of their database investment, ultimately contributing to the success of the application project. 

Choosing the appropriate edition of DB2 depends on various factors, including the organization's performance requirements. Organizations may opt for a specific edition based on their need for features such as advanced analytics, high availability, or security. Understanding these requirements helps organizations select the edition that best aligns with their goals and resources. 

User roles in DB2 serve the purpose of simplifying permission management. They allow database administrators to group users with similar responsibilities and assign permissions to these roles rather than to individual users. This simplifies the management of permissions, especially in large databases with many users, by reducing the need to assign permissions individually to each user. User roles enhance security and streamline the administration process in DB2. 

db2move is a utility specifically designed for automated backups and restoration processes in DB2. It allows organizations to easily perform full or incremental backups of their databases, as well as restore them when needed. The utility provides a straightforward command-line interface, making it suitable for automation and integration into existing backup workflows. 

The primary purpose of the LOAD utility in DB2 is to efficiently load large volumes of data into DB2 tables. It is designed to handle bulk data loading operations, optimizing performance and minimizing resource consumption. The LOAD utility bypasses certain data integrity checks and logging mechanisms to achieve faster data loading speeds. 

Integration of DB2 with cloud platforms such as AWS and Azure brings about elasticity in the system. This means that DB2 databases can efficiently scale up or down in response to changes in demand, ensuring optimal resource utilization and cost-effectiveness. Elasticity in DB2 cloud integration empowers organizations to handle varying workloads effectively, providing the agility needed to adapt to evolving business requirements. It enables seamless expansion or contraction of database resources, contributing to improved performance, reliability, and cost efficiency in cloud-based environments. 

In an Entity-Relationship Diagram (ERD), a double-lined rectangle represents a weak entity. A weak entity is an entity that cannot be uniquely identified by its attributes alone; it depends on another entity for identification through a foreign key. The double-lined rectangle distinguishes weak entities from strong entities, which are represented by single-lined rectangles. Understanding weak entities is crucial for modeling complex relationships and ensuring data integrity in database design. 

Dictionary Compression is a compression technique in DB2 that reduces the size of data by eliminating redundant information using a dictionary. It identifies repeating patterns within data and replaces them with shorter tokens or references, thereby reducing the overall storage space required. This compression technique is particularly effective for datasets with repetitive data patterns, leading to significant storage savings and improved query performance. 

SQL PL (Structured Query Language Procedure Language) is the language used to write stored procedures in DB2. It provides features such as flow-of-control statements, variable declarations, and exception handling, making it suitable for developing complex logic within the database. 

Normalization is crucial in database design to ensure data integrity and minimize redundancy. Third Normal Form (3NF) is widely used, as it reduces data redundancy by removing transitive dependencies. Boyce-Codd Normal Form (BCNF) is stricter than 3NF, eliminating all non-trivial functional dependencies and ensuring each determinant is a candidate key. Fourth Normal Form (4NF) deals with multi-valued dependencies, and Fifth Normal Form (5NF) addresses join dependencies, further enhancing data integrity and minimizing redundancy.