TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

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. learn more

In this course, Rich Fox will provide a framework for becoming a data-driven organization. Students will learn best practices for connecting business strategy and analytics to deliver results, driving faster and more effective decisions. learn more

This workshop will cover a range of ethical, privacy, and legal issues that surround data and analytics activities today, as well as what may be expected in the future. learn more

In this class, Julia Bardmesser will show you how to join the dots between data capabilities and business outcomes, using real-world case studies. You will also learn techniques for non-technical storytelling, so you can convert deeply technical subjects like master data management into concepts that business stakeholders can easily grasp. learn more

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. learn more

This course empowers data and analytics professionals to revolutionize their approach to data. Students will master the concept of data as a product, a paradigm shift from traditional project-based data handling to a sustainable, value-driven product model. learn more

This masterclass will equip you with a framework for evaluating AI's tangible benefits and understanding its impact on workplace dynamics, ensuring responsible and strategic adoption. learn more

In this information-packed half-day class, learn the critical decisions and actions that business leaders must take to maximize returns on data investments across five essential capabilities. learn more

This course is organized around the lifecycle of metadata—from collection to active use—and the importance of aligning practices with the needs of different roles. learn more

In this masterclass, Norbert Kremer will examine how data is used across a variety of AI use cases. He will show how AI models with different modalities and scales use training data in very different ways and explain why the large scale of some current models demands new methods of generating training data. learn more

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. learn more

This course will outline a practical approach to implementing a data governance framework with a focus on the key data governance processes to put in place, and how to embed data governance processes into core business processes to ensure compliance. learn more