Attributes In Bizagi Data Model
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 973.17 MB | Duration: 1h 42m
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 973.17 MB | Duration: 1h 42m
Bizagi Attribute Types, Temporary Attributes, Business Keys, Scope & Database-Level Attribute Security with Encryption
What you'll learn
Learn to identify and apply attribute types (Common, Entity, Collections) in Bizagi for effective data modeling.
Master managing attributes lists in Bizagi, enhancing entity design and functionality.
Understand and implement business keys in Bizagi for unique entity identification.
Learn to secure data with attribute encryption in Bizagi at the database level.
Gain skills in using temporary attributes in Bizagi to optimize data handling.
Explore Bizagi's Scope concept to manage concurrent data edits effectively.
Analyze Scope experiment results in Bizagi to master long-term transaction management.
Requirements
No prior experience with Bizagi is required—this course is designed for beginners. A basic understanding of business processes or databases is helpful but not mandatory. All you need is access to a computer with Bizagi Studio (free version available) and a willingness to learn. We'll start from the fundamentals and build up, making it accessible for anyone new to data modeling in Bizagi.
Description
Welcome to the Attributes in Bizagi Data Model course, a core module in Bizagi's data modeling series! This comprehensive course takes you from beginner to advanced, exploring the essential attributes that power effective process automation. Whether you're new to Bizagi or refining your skills, you'll gain practical knowledge to build scalable, secure data structures.What You’ll Learn: Start with attribute types (Common Types, Entity Types, Collections) and their configurations for optimal data handling. Dive into the Attributes List for entity management, including sorting, dependencies, and multilingual support. Master Business Keys for unique identification and data integrity, with automatic indexing for better performance. Explore attribute encryption at the database level for enhanced security, covering setup steps and limitations. Learn Temporary Attributes (Scope Attributes) for short-term data without cluttering the model, and understand the Scope concept for managing concurrent edits via long-term transactions. Finally, analyze Scope experiment results to see real-world data overwrite prevention.Who This Course Is For: Ideal for Bizagi designers, developers, and business analysts aiming to create efficient data architectures. Perfect for beginners learning from scratch or professionals optimizing workflows—no advanced coding needed. Basic business process knowledge is helpful but not required.Course Structure: From basics to advanced techniques, with hands-on examples in Bizagi Studio. Led by Abdolkarim Hasheminezhad, with years of experience in large-scale Bizagi projects, this course equips you to unlock Bizagi's full potential.Enroll now and transform your Bizagi data modeling skills!
Overview
Section 1: Attribute Types
Lecture 1 Common Types
Lecture 2 Entity Types
Lecture 3 Collection Types
Section 2: Attributes List
Lecture 4 Attributes List
Section 3: Business Key
Lecture 5 Business Key
Section 4: Attributes Encryption
Lecture 6 Concept
Lecture 7 Method
Section 5: Temporary Attributes
Lecture 8 Temporary Attributes
Section 6: Scope
Lecture 9 Concept
Lecture 10 Analyzing Scope Experiment Results
This course is ideal for Bizagi designers, developers, and business analysts who want to master data modeling and create efficient, scalable projects. It's perfect for beginners building their first Bizagi application or experienced professionals seeking to optimize entity structures for better performance and agility. If you're a workflow designer or IT consultant aiming to leverage Bizagi's full potential without advanced coding, this course will empower you to design robust data architectures from the ground up.