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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 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 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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Is a Data Lakehouse in Your Future?
Attend this course to hear the data lakehouse story and learn how it may fit into your data and analytics architecture. O’Brien will also discuss prominent players, positions, and predictions for the coming years.
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Data Science Bootcamp // Modeling Your Data: Building and Assessing Models
Students will receive an overview of common statistical techniques and algorithms that are used in analytic models, how they are matched to business objectives and available data, and how the models are tuned and validated. The course will also cover key technologies that enable model development and management, and examples will reinforce key concepts.
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Data Fabric for Analytics: Achieving the Dream of Seamless Data Access
Data fabric is a new term for an all-encompassing analytics architecture that is easily understood and accessed, easily implemented and maintained, and ensures that all analytics data can flow easily throughout the entire analytical environment.
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Modernizing Your Data Architecture to Support AI and Advanced Analytics
Architecture is more than just software. It starts from use and includes the data, methods of building and maintaining, and organization of people. We are also in an emerging technology space when it comes to data. This requires reintroducing exploratory design practices that have been largely discarded over the last 10 years as data warehousing and BI matured.
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Hands-On: Architecting Modern Analytic Ecosystems in the Cloud
In this course, you will learn a business-driven approach to establishing or rebalancing a modern, cloud-based ecosystem.
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