Data Modeling with Tableau Год издания: 2022 Автор: Munroe K. Издательство: Packt ISBN: 9781803248028 Язык: Английский Формат: EPUB Качество: Издательский макет или текст (eBook) Интерактивное оглавление: Да Количество страниц: 356 Описание: Tableau is unlike most other BI platforms that have a single data modeling tool and enterprise data model (for example, LookML from Google’s Looker). That doesn’t mean Tableau doesn’t have enterprise data governance; it is both robust and highly flexible. This book will help you effectively use Tableau governance models to build a data-driven organization. Data Modeling with Tableau is an extensive guide, complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. As you progress through the chapters, you’ll learn the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. You’ll also explore the components of Tableau Server and Tableau Cloud that make data modeling more robust, secure, and performant. Moreover, by extending data models for Ask and Explain Data, you’ll gain the knowledge required to extend analytics to more people in their organizations, leading to better data-driven decisions. Finally, this book will guide you through the entire Tableau stack and the techniques required to build the right level of governance into Tableau data models for the correct use cases. By the end of this Tableau book, you’ll have a firm understanding of how to leverage data modeling in Tableau to benefit your organization.
Оглавление
Preface Part 1: Data Modeling on the Tableau Platform Chapter 1: Introducing Data Modeling in Tableau Chapter 2: Licensing Considerations and Types of Data Models Part 2: Tableau Prep Builder for Data Modeling Chapter 3: Data Preparation with Tableau Prep Builder Chapter 4: Data Modeling Functions with Tableau Prep Builder Chapter 5: Advanced Modeling Functions in Tableau Prep Builder Chapter 6: Data Output from Tableau Prep Builder Part 3: Tableau Desktop for Data Modeling Chapter 7: Connecting to Data in Tableau Desktop Chapter 8: Building Data Models Using Relationships Chapter 9: Building Data Models at the Physical Level Chapter 10: Sharing and Extending Tableau Data Models Part 4: Data Modeling with Tableau Server and Online Chapter 11: Securing Data Chapter 12: Data Modeling Considerations for Ask Data and Explain Data Chapter 13: Data Management with Tableau Prep Conductor Chapter 14: Scheduling Extract Refreshes Chapter 15: Data Modeling Strategies by Audience and Use Case Index Other Books You May Enjoy
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