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Data Storytelling with Google Looker Studio

You're reading from Data Storytelling with Google Looker Studio

Product type Book

Published in Oct 2022

Publisher Packt

ISBN-13 9781800568761

Pages 464 pages

Edition 1st Edition

Languages

Concepts

Business Intelligence

Author (1):

Sireesha Pulipati

Table of Contents (17) Chapters

Preface

1. Part 1 – Data Storytelling Concepts

2. Chapter 1: Introduction to Data Storytelling

3. Chapter 2: Principles of Data Visualization

4. Chapter 3: Visualizing Data Effectively

5. Part 2 – Looker Studio Features and Capabilities

6. Chapter 4: Google Looker Studio Overview

7. Chapter 5: Looker Studio Report Designer

8. Chapter 6: Looker Studio Built-In Charts

9. Chapter 7: Looker Studio Features, Beyond Basics

10. Part 3 – Building Data Stories with Looker Studio

11. Chapter 8: Employee Turnover Analysis

12. Chapter 9: Mortgage Complaints Analysis

13. Chapter 10: Customer Churn Analysis

14. Chapter 11: Monitoring Report Usage

15. Index

Why subscribe?

16. Other Books You May Enjoy

Optimizing reports for performance

Fast report load times and responsiveness are paramount for a good user experience in any visualization tool. Certain design and implementation choices may adversely impact report efficiency. In this section, you will learn about several techniques that will help you optimize Looker Studio reports performance-wise. Some of the considerations here may only be relevant when dealing with truly large volumes of data.

Optimizing data sources

A major reason for lag in Looker Studio is the volume or size of the data being queried. Hence, the first place you can look to for improving the performance of your reports is the data sources.

Modeling the data source

Data sources in Looker Studio are logical constructs and do not pull data from underlying datasets unless this is requested from reports and explorations. Typically, date ranges and other filters defined at the report level determine the maximum volume of data the report can retrieve and...

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Authors (1)

Sireesha Pulipati

Sireesha Pulipati is an experienced data analytics and data management professional. She has spent the last decade building and managing data platforms and solutions, and is passionate about enabling users to leverage data to solve business problems. Sireesha holds a master's degree in Business Administration and a bachelor's degree in Electrical Engineering. Her work history spans multiple industries – healthcare, media, travel & hospitality, high-tech, and more. She is currently at Google as an analytics lead, helping with analytics strategy to support Search Knowledge Graph. Outside of work, Sireesha enjoys hiking and reading books. She currently resides in the Bay Area.

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