Description of the Workshop
Are you ready to elevate your data modeling expertise? Join us for an advanced workshop designed for data architects who seek to deepen their knowledge and master sophisticated techniques in data modeling. This workshop will cover cutting-edge strategies and methodologies that are essential for designing robust, scalable, and high-performing data models. Through a blend of theoretical insights and practical applications, participants will explore topics such as advanced normalization, denormalization strategies, performance optimization, complex data relationships, and the latest trends in data modeling tools and technologies. Whether you are looking to refine your skills or stay ahead in the rapidly evolving field of data architecture, this workshop will equip you with the insights and tools needed to excel.
Mode of Workshop : ONLINE
Date : 17th August, 2024
Timing: 02:00 p.m. – 05:00 p.m.
Profile of the Instructor
![](https://elearn.nptel.ac.in/wp-content/uploads/2024/07/Screenshot-2024-07-23-at-2.16.52-PM-390x400.png)
Ms Shweta Kedari,
Project Manager, Encora
With over 12 years of industry experience in data modeling solutions, she has successfully managed numerous data engineering projects throughout her career. She is not only a seasoned professional in the tech field but also a passionate foodie and gym enthusiast. Her love for exploring diverse culinary experiences complements her dedication to maintaining a healthy and active lifestyle.
Born and raised in Pune, India, she pursued a Bachelor’s degree in Information Technology. This academic foundation provided her with the essential knowledge and skills to excel in the ever-evolving tech industry. Over the years, she has honed her expertise in data modeling, consistently delivering high-quality solutions that meet and exceed client expectations.
In addition to her technical prowess, she is known for her ability to lead teams and manage complex projects with efficiency and precision. Her commitment to continuous learning and professional growth ensures that she remains at the forefront of industry advancements.
Learning outcomes
Advanced Normalization and Denormalization Techniques:
Understand and apply complex normalization and denormalization strategies to optimize data integrity and performance.
Performance Optimization:
Learn how to design data models that enhance query performance and support efficient data retrieval in large-scale databases.
Complex Data Relationships:
Gain expertise in modeling complex data relationships, including handling many-to-many relationships and hierarchical data structures.
Latest Data Modeling Tools and Technologies:
Stay updated with the latest trends and tools in data modeling, including new features and best practices.
Real-World Applications and Case Studies:
Apply advanced data modeling techniques through hands-on exercises and real-world case studies, reinforcing theoretical concepts with practical experience.
Data Model Quality and Governance:
Learn how to ensure data model quality and governance, including strategies for maintaining consistency, accuracy, and compliance in data architectures.
Collaboration and Communication:
Enhance your ability to collaborate with cross-functional teams and effectively communicate complex data models to stakeholders.
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