Könyv Tableau Cookbook for Experienced Professionals Daria Kirilenko

Tableau Cookbook for Experienced Professionals

Szerző: Daria Kirilenko
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
18 803 Ft
Push beyond conventional Tableau by mastering advanced geospatial capabilities, unlocking API potent...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2025
oldal
372
EAN
9781835469743
ISBN
1835469744
Enbook ID
48397022
Súly
640
Méretek
191 x 235 x 20

Teljes leírás

Push beyond conventional Tableau by mastering advanced geospatial capabilities, unlocking API potential, and fortifying corporate data infrastructure with industry-leading best practices

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features:

- Transform dashboards into data apps that drive instant business decisions

- Build robust data models that scale with your data

- Extend Tableau with developer tools to automate tasks and integrate with external systems

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

In today's data-driven business world, advanced analytics set organizations apart. Basic visualizations no longer suffice for Tableau developers tackling complex data challenges. Written by Tableau experts who've trained Fortune 500 companies and led global analytics initiatives, this cookbook delivers battle-tested techniques with the perfect blend of technical depth and practical application.

You'll master advanced techniques such as geospatial analysis, data modeling for optimized workflows, and enterprise-scale content management. This book shows you how to leverage Tableau cloud's Data Management capabilities to centralize data sources and ensure data quality for consistent analytics. You'll also explore advanced management features such as the Content Migration Tool in Tableau 2025.1 and beyond.

Bridging the gap between fundamentals and cutting-edge practices, this book extends Tableau's capabilities with APIs, custom LOD expressions, virtual connections, data apps, and TabPy. You'll gain the skills to solve complex business problems, create high-impact dashboards, and seamlessly integrate Tableau into your data strategy, all while adhering to security and governance best practices.

*Email sign-up and proof of purchase required

What You Will Learn:

- Build advanced, high-performing Tableau data models and tables

- Tackle data complexities with LOD expressions and table calculations

- Leverage zone visibility to build interactive and user-friendly dashboards

- Optimize workbook performance for improved user experience

- Analyze geospatial data with map layers, shapefiles, and spatial joins

- Develop a deeper understanding of Tableau's REST API capabilities

- Use Tableau's order of operations to troubleshoot calculations

- Adopt industry-standard best practices to secure corporate data assets

Who this book is for:

This cookbook is for Tableau professionals,developers, BI administrators, and data analysts ready to explore advanced techniques and deepen their expertise. To make the most of this book, you should either have intermediate to advanced experience with Tableau Desktop and its core functionalities. If you're coming from another BI background, this book will prove invaluable as it demonstrates Tableau's real-world applications. Familiarity with products such as Tableau Cloud and Tableau Server is beneficial, but not a prerequisite for using this book.

Table of Contents

- Building Advanced and Efficient Tableau Data Models

- Managing Content and Security at Scale in Tableau

- Leveraging Tableau Cloud's Data Management and Advanced Management

- Maximizing Workbook Performance

- Mastering Advanced Calculations to Answer Complex Business Questions

- Creating Interactive Dashboards

- Interactivity and Zone Visibility: from Dashboards to Data Apps

- Advanced Geospatial and Mapping Use Cases

- Extending Tableau with Developer Tools and APIs

- Core Techniques for Impactful Data Design

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