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Modernizing Your Data Warehouse and Analytics Ecosystem
This full-day class examines the emergence of new trends in data warehouse implementation and the deployment of analytics ecosystems.
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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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Unified Semantic Layers for AI-Ready Enterprise Data Architecture
The course covers understanding vector database technologies and optimization for enterprise-scale, hybrid search architectures that combine dense vectors with metadata filtering, knowledge graph implementation for semantic context, and comprehensive operational frameworks for monitoring RAG system performance.
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Data Strategy Bootcamp // Building Your Company’s Analytics and Data Warehouse Plan
In this course, Evan Levy will review the phases of developing an analytics/DW roadmap and the tactical activities of planning, scoping, and organizing analytics and data initiatives.
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TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All
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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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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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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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Modern Data Engineering for Tomorrow's Enterprise Landscape
This half-day course delves into cutting-edge practices to sculpt and refine robust data pipelines. Immerse yourself in the intricacies of data engineering for data meshes, data warehouses, data lakehouses, and data virtualization.
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