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Kirk Munroe Data Modeling with Tableau (Paperback)

Description: Further DetailsTitle: Data Modeling with TableauCondition: NewFormat: PaperbackRelease Date: 09/30/2022EAN: 9781803248028Subtitle: A practical guide to building data models using Tableau Prep and Tableau DesktopISBN: 9781803248028Publisher: Packt Publishing LimitedDescription: Save time analyzing volumes of data using best practices to extract, model, and create insights from your dataKey FeaturesMaster best practices in data modeling with Tableau Prep Builder and Tableau DesktopApply Tableau Server and Cloud to create and extend data modelsBuild organizational data models based on data and content governance best practicesBook Description 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 very flexible. This book will help you build a data-driven organization with the proper use of Tableau governance models. 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 will 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 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 get into the entire Tableau stack and get the techniques required to build the right level of governance into Tableau data models for the right 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.What you will learnShowcase Tableau published data sources and embedded connectionsApply Ask Data in data cataloging and natural language queryExhibit features of Tableau Prep Builder with hands-on exercisesModel data with Tableau Desktop through examplesFormulate a governed data strategy using Tableau Server and CloudOptimize data models for Ask and Explain DataWho this book is for This book is for data analysts and business analysts who are looking to expand their data skills, offering a broad foundation to build better data models in Tableau for easier analysis and better query performance. It will also benefit individuals responsible for making trusted and secure data available to their organization through Tableau, such as data stewards and others who work to take enterprise data and make it more accessible to business analysts.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Kirk MunroeGenre: Computing & InternetItem Weight: 1.35 poundsgISBN-10: 1803248025Type: SoftwareRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Kirk Munroe Data Modeling with Tableau (Paperback)

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Book Title: Data Modeling with Tableau

Title: Data Modeling with Tableau

Release Date: 09/30/2022

Release Year: 2022

EAN: 9781803248028

Subtitle: A practical guide to building data models using Tableau Prep and

ISBN: 9781803248028

Country/Region of Manufacture: GB

Item Height: 93mm

Item Length: 75mm

Genre: Computing & Internet

Item Weight: 1.35 poundsg

ISBN-10: 1803248025

Publisher: Packt Publishing, The Limited

Publication Year: 2022

Subject: Enterprise Applications / Business Intelligence Tools, Data Modeling & Design, Desktop Applications / Databases, General

Number of Pages: 356 Pages

Publication Name: Data Modeling with Tableau : A Practical Guide to Building Data Models Using Tableau Prep and Tableau Desktop

Language: English

Type: Textbook

Author: Kirk Munroe

Subject Area: Mathematics, Computers

Format: Trade Paperback

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