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An Introduction to Data Fabric Architecture
In this course you will learn about the case for a data fabric, when it makes sense to adopt this architecture, how to implement the data fabric architecture, and the implications of a data fabric model for people, processes, and technology.
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Data Architecture Patterns: A Guide to Designing Scalable and Resilient Solutions
By the end of this workshop, students will have a clear understanding of the various architectural patterns used in modern data platforms, how to match them to specific business needs, and how to recognize the strengths and limitations of each.
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Data Science and Generative AI: Leveraging Best Practices and Avoiding Pitfalls
This masterclass will teach you about best practices in deploying a data science capability for your organization.
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Developing a Graph Mindset to Solve Complex Business Problems
This course will take graph concepts out of the realm of academic theory and show you what they mean in practice. The hands-on exercises won’t require a laptop, just pen and paper and a desire to not just push your thinking, but the very way you think.
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TDWI Data Virtualization: Solving Complex Data Integration Challenges
Get ready to expand your data integration capabilities, deliver business-speed information, and make the most of recent advances in data integration technology. Through a combination of lecture, exercises, and case study review you will learn how data virtualization works and how to position it in your data integration architecture and processes.
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Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics.
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TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All
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Modernizing Your Data Warehouse and AI/Machine Learning Ecosystem
This half-day masterclass examines the emergence of new trends in data warehouse implementation and the deployment of AI and machine learning (ML) ecosystems.
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Data Architecture Essentials: Building a Data Foundation for Enterprise Analytics
This course offers a deep dive into the foundation and architecture of modern data platforms, highlighting key concepts such as data mesh, data warehouse, data lakehouse, and data virtualization.
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How to Deliver Modern Data Architecture with Agile Processes
This prescriptive, process-based course is designed to provide agile methodology and templates project delivery teams can follow to build modern data infrastructures (on premises, hybrid, and multicloud) in sprints.
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