Introduction

Multivalue databases, such as Rocket MV (UniVerse, UniData, and D3), offer a unique approach to data management that differs from traditional relational databases. This course provides a foundational understanding of Rocket Multivalue (MV) databases, covering data structures, query languages, indexing, and key administrative functions. Participants will gain hands-on experience with the core concepts and practical applications of Multivalue databases in modern enterprise environments.

Prerequisites

• Basic understanding of databases and data management concepts
• Familiarity with command-line interfaces
• General knowledge of scripting languages (helpful but not required)

Table of Contents

1. Introduction to Multivalue Databases
   1.1 Overview of Multivalue Database Architecture
   1.2 Differences Between Multivalue and Relational Databases
   1.3 Key Features of Rocket MV (UniVerse, UniData, D3)
   1.4 Common Use Cases and Industry Applications
2. Rocket MV Data Structures
   2.1 Understanding Multivalue Fields and Subvalues
   2.2 File Structures and Dictionary Items
   2.3 Storing and Retrieving Data Efficiently
   2.4 Managing Keys and Indexing in MV Databases(Ref: PostgreSQL DBA Crash Course: Essential Skills for Database Administrators)
3. Querying Data in Rocket MV
   3.1 Introduction to RetrieVe, UniQuery, and Access Query Language
   3.2 Writing Basic and Advanced Queries
   3.3 Using Select, Sort, and Report Formatting Options
   3.4 Optimization Techniques for Query Performance
4. Programming in Multivalue Environments
   4.1 Introduction to Rocket MV BASIC
   4.2 Writing Stored Procedures and Custom Scripts
   4.3 Handling Multivalued Data in Programs
   4.4 Debugging and Error Handling in Rocket MV BASIC
5. File Management and Administration
   5.1 Creating and Managing Files and Dictionaries
   5.2 Implementing Security and Access Controls
   5.3 Backup and Restore Strategies
   5.4 Performance Tuning and Optimization Techniques
6. Integration with Modern Applications
   6.1 Connecting Multivalue Databases with External Systems
   6.2 RESTful APIs and Web Services Integration
   6.3 Exporting and Importing Data (JSON, XML, CSV)
   6.4 Using Rocket MV with Cloud and Hybrid Environments
7. Advanced Topics in Rocket MV
   7.1 Triggers and Stored Procedures
   7.2 Transaction Management and Locking Mechanisms
   7.3 Implementing Business Logic in MV Databases
   7.4 Future Trends and Advancements in Multivalue Databases
8. Practical Lab and Hands-on Exercises
   8.1 Setting Up a Rocket MV Environment
   8.2 Writing Queries and Analyzing Data
   8.3 Implementing a Small-Scale Application in MV BASIC
   8.4 Troubleshooting Common Issues
9. Conclusion and Next Steps
   9.1 Summary of Key Learnings
   9.2 Additional Resources for Further Study
   9.3 Best Practices for Multivalue Database Management
   9.4 Future Career Opportunities in Multivalue Databases

Conclusion

This course provides a comprehensive foundation in Rocket Multivalue databases, equipping participants with essential skills for database management, querying, and application development. By mastering these fundamentals, participants will be well-prepared to work with Rocket MV databases in real-world scenarios, optimize data performance, and integrate MV solutions into modern IT environments.

Reference