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Mastering Tableau 2023 - Fourth Edition

You're reading from Mastering Tableau 2023 - Fourth Edition

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781803233765

Pages 684 pages

Edition 4th Edition

Languages

Concepts

Business Intelligence

Author (1):

Marleen Meier

Table of Contents (19) Chapters

Preface

Reviewing the Basics

Getting Your Data Ready

Using Tableau Prep Builder

Learning about Joins, Blends, and Data Structures

Introducing Table Calculations

Utilizing OData, Data Densification, Big Data, and Google BigQuery

Practicing Level of Detail Calculations

Going Beyond the Basics

Working with Maps

Presenting with Tableau

Designing Dashboards and Best Practices for Visualizations

Leveraging Advanced Analytics

Improving Performance

Exploring Tableau Server and Tableau Cloud

Integrating Programming Languages

Developing Data Governance Practices

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Index

What is data governance?

Data governance is all about the generation and implementation of data-related policies following regulations and industry standards. Its primary goal is to guarantee the usefulness, accessibility, and security of information. Enhanced data governance leads to improved data analytics, granting analysts peace of mind by ensuring that the data they rely on originates from reliable sources, has been verified, and has undergone rigorous data quality assessments, among other measures.

On the www.tableau.com website, you can find a whitepaper that introduces Tableau users to data management, including data governance: https://www.tableau.com/learn/whitepapers/tableau-data-management.

And if you would prefer a video, you will find a walk-through at the following link: https://www.tableau.com/products/data-management#content-446367.

Both the whitepaper and the video talk about this setup:

Figure 16.1: Tableau data management

In general, data...

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Authors (1)

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

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