Prepare Your Data for Tableau: A Practical Guide to the Tableau Data Prep Tool
US $10.88
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Item specifics
- Condition
- ISBN
- 9781484254967
- Subject Area
- Computers
- Publication Name
- Prepare Your Data for Tableau : a Practical Guide to the Tableau Data Prep Tool
- Publisher
- Apress L. P.
- Item Length
- 9.3 in
- Subject
- Enterprise Applications / General
- Publication Year
- 2019
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 16 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xvii, 202 Pages
About this product
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484254961
ISBN-13
9781484254967
eBay Product ID (ePID)
23038556143
Product Key Features
Number of Pages
Xvii, 202 Pages
Publication Name
Prepare Your Data for Tableau : a Practical Guide to the Tableau Data Prep Tool
Language
English
Publication Year
2019
Subject
Enterprise Applications / General
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Chapter 1: What is ETL.- Chapter 2: About the Demo Data.- Chapter 3: Connecting to Data.- Chapter 4: UNION Joins.- Chapter 5: Joins.- Chapter 6: Audit.- Chapter 7: Cleaning.- Chapter 8: Group and Replace.- Chapter 9: Aggregate.- Chapter 10: Pivoting Data.- Chapter 11: Output.- Appendix 1: Preparing data IN Tableau.
Synopsis
Focus on the most important and most often overlooked factor in a successful Tableau project--data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep tool Connecting to data Data quality and consistency The shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter? What is the level of detail in the source data? Why is that important? Combining source data to bring in more fields and rows Saving the data flow and the results of our data prep work Common cleanup and setup tasks in Tableau Desktop What You Will Learn Recognize data sources that are good candidates for analytics in Tableau Connect to local, server, and cloud-based data sources Profile data to better understand its content and structure Rename fields, adjust data types, group data points, and aggregate numeric data Pivot data Join data from local, server, and cloud-based sources for unified analytics Review the steps and results of each phase of the Data Prep process Output new data sources that can be reviewed in Tableau or any other analytics tool Who This Book Is For Tableau Desktop users who want to: connect to data, profile the data to identify common issues, clean up those issues, join to additional data sources, and save the newly cleaned, joined data so that it can be used more effectively in Tableau, Focus on the most important and most often overlooked factor in a successful Tableau project--data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep tool Connecting to data Data quality and consistency The shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter? What is the level of detail in the source data? Why is that important? Combining source data to bring in more fields and rows Saving the data flow and the results of our data prep work Common cleanup and setup tasks in Tableau Desktop What You Will Learn Recognize data sources that are good candidates for analytics in Tableau Connect tolocal, server, and cloud-based data sources Profile data to better understand its content and structure Rename fields, adjust data types, group data points, and aggregate numeric data Pivot data Join data from local, server, and cloud-based sources for unified analytics Review the steps and results of each phase of the Data Prep process Output new data sources that can be reviewed in Tableau or any other analytics tool Who This Book Is For Tableau Desktop users who want to: connect to data, profile the data to identify common issues, clean up those issues, join to additional data sources, and save the newly cleaned, joined data so that it can be used more effectively in Tableau
LC Classification Number
QA76.76.A65
Item description from the seller
Seller feedback (8,687)
- d***- (47)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat seller!! A+++++ Item(book) was much better than described, well packed in a bubble-wrap envelope, rapidly shipped, and nicely priced. Many thanks! I am very happy with my purchase and would do business again.
- a***g (74)- Feedback left by buyer.Past monthVerified purchaseGreat seller! Smooth transaction, great value, fast shipping, well packaged, and brand new as described. Very pleased with this purchase and would purchase from this seller again. Thank you!
- k***o (1414)- Feedback left by buyer.Past 6 monthsVerified purchaseMuch better than described, I see nothing wrong with the condition of this fantastic book. The price was remarkably low, I feel slightly guilty for not having paid more. Excellent service, the book was professionally packaged and arrived immediately. A+ many thanks!!!
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Seller feedback (8,687)
- d***- (47)- Feedback left by buyer.Past 6 monthsVerified purchaseGreat seller!! A+++++ Item(book) was much better than described, well packed in a bubble-wrap envelope, rapidly shipped, and nicely priced. Many thanks! I am very happy with my purchase and would do business again.
- a***g (74)- Feedback left by buyer.Past monthVerified purchaseGreat seller! Smooth transaction, great value, fast shipping, well packaged, and brand new as described. Very pleased with this purchase and would purchase from this seller again. Thank you!
- k***o (1414)- Feedback left by buyer.Past 6 monthsVerified purchaseMuch better than described, I see nothing wrong with the condition of this fantastic book. The price was remarkably low, I feel slightly guilty for not having paid more. Excellent service, the book was professionally packaged and arrived immediately. A+ many thanks!!!