O'Reilly Live Online Training
Enterprise Data Visualization: Executive Dashboards and Managerial Displays Live Online Training with Dan Vlamis and Tim Vlamis
August 5, 2021 (repeated due to oversubscribed demand!)
9:00am - 12:30pm Central Daylight Time
Evidence-based decision making depends on the objective presentation of data. Business intelligence dashboards and analytics systems require visualizations that are grounded in cognitive science and guided by skilled practitioners. You’ll learn not only when to use which visualizations, but also which common mistakes to avoid. You’ll get key frameworks to determine how much effort and time to invest in different dashboards and how to balance analytic depth and quick-read insights. You’ll learn how to quickly spot effective designs and replace splash with class. The experts at Vlamis have guided everyone from NASA’s Jet Propulsion Labs to AMC Theatres in the effective display of organizational data. If you’ve ever wondered how many drop-down menus to use or what’s the best way to show multi-dimensional insights or how to logically organize and link multiple dashboard pages, join this session packed with practical information and real-world exercises designed to solidify your understanding.
Data Visualization is not about entertaining people with graphs or about data science algorithms. It is about communicating data as accurately, objectively, and consistently as we can.
The principles and best practices for designing effective dashboards for enterprise settings are shared across software platforms and interfaces. This class is not about how to use a particular data visualization tool, but rather about how to design highly effective displays and interfaces that can be executed using many different systems.
Enterprise Analytic Warehousing: Data warehouse architecture and strategy designed for analytics - with Dan Vlamis and Tim Vlamis
(Planned for September 2021)
This course will guide participants through the evolving world of data management for the purposes of providing and supporting analytics and analytical processing. You’ll learn frameworks, concepts, and techniques that will enable you to evaluate the strengths and weaknesses of different architectures, strategies, and solutions. We will both praise and critique concepts like lambda architectures, Kafka-based data fabrics, traditional data warehousing, and big data solutions. The course will cover the development of logical structures, relationships, and hierarchies, both discovered and assigned. Unlike in traditional data warehousing, you’ll learn about the advantages of creating distinctions between processing/query engines and storage layers and determining strategies for data capture and use. Having implemented analytics and data warehouse systems for many of America’s largest corporations and organizations for more than 30 years, Dan and Tim will share their experience and lessons learned.
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