Product Demonstration

Data Modeling Decoded: Building a Scalable Data Architecture

Thursday, August 10, 2023|10:00 am CDT | 17:00 CEST

“Data Modeling Decoded: Building a Scalable Data Architecture” is a premier webinar event hosted by WhereScape Data Automation, set to demystify the process of developing robust, scalable data models that can adapt to the needs of a growing business.

Having a solid data architecture is paramount in an era where data is the driving force behind informed decision-making and strategic planning. This comprehensive webinar will equip attendees with practical knowledge, insights, and tools to build scalable data architectures using effective data modeling techniques.

The webinar will delve into the various aspects of data modeling, including its principles, best practices, and its role in establishing a scalable data architecture. It will provide a clear roadmap for leveraging data modeling techniques to handle increasing volumes of data and complex business requirements effectively.

Hosted by WhereScape, the global leader in data infrastructure automation, the webinar will also showcase the practical application of these techniques. During this event, we will illustrate how WhereScape’s automation platform can streamline the data modeling process, enabling organizations to build scalable data architectures swiftly and efficiently.


Key Takeaways:

  1. Understanding the importance of data modeling in today’s data-driven business environment.
  2. Gaining insights into how effective data modeling can lead to the creation of a scalable data architecture.
  3. Exploring the potential of automation in the realm of data modeling with a detailed demonstration of WhereScape’s capabilities.
  4. Learning the best practices and principles of data modeling and how to apply them to your organization.


Who Should Attend:

This webinar is tailored to meet the needs of Business Intelligence & data professionals, CDOs, CTOs, and other IT leaders looking to enhance their knowledge of data modeling and data architecture. AI experts and AI enthusiasts who want to understand the role of data modeling in building robust AI systems will also benefit from this session. Attendees can look forward to an enlightening discussion, practical demonstrations, and actionable insights they can apply to their professional practice.

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