[Update] What is Tableau? Uses of Tableau Software Tool | tableau – Pickpeup

tableau: นี่คือโพสต์ที่เกี่ยวข้องกับหัวข้อนี้

What is Tableau?

Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data in a very easily understandable format. Tableau helps create the data that can be understood by professionals at any level in an organization. It also allows non-technical users to create customized dashboards.

Data analysis is very fast with Tableau tool and the visualizations created are in the form of dashboards and worksheets.

The best features of Tableau software are

  • Data Blending
  • Real time analysis
  • Collaboration of data

The great thing about Tableau software is that it doesn’t require any technical or any kind of programming skills to operate. The tool has garnered interest among the people from all sectors such as business, researchers, different industries, etc.

In this tutorial, you will learn-

Tableau Product Suite

The Tableau Product Suite consists of

  • Tableau Desktop
  • Tableau Public
  • Tableau Online
  • Tableau Server
  • Tableau Reader

Tableau Product Suite

Tableau Product Suite

For a clear understanding, data analytics in Tableau tool can be classified into two section.

  1. Developer Tools: The Tableau tools that are used for development such as the creation of dashboards, charts, report generation, visualization fall into this category. The Tableau products, under this category, are the Tableau Desktop and the Tableau Public.
  2. Sharing Tools: As the name suggests, the purpose of these Tableau products is sharing the visualizations, reports, dashboards that were created using the developer tools. Products that fall into this category are Tableau Online, Server, and Reader.

Let’s study all the Tableau products one by one.

Tableau Desktop

Let’s study all the Tableau products one by one.

Tableau Desktop has a rich feature set and allows you to code and customize reports. Right from creating the charts, reports, to blending them all together to form a dashboard, all the necessary work is created in Tableau Desktop.

For live data analysis, Tableau Desktop provides connectivity to Data Warehouse, as well as other various types of files. The workbooks and the dashboards created here can be either shared locally or publicly.

Based on the connectivity to the data sources and publishing option, Tableau Desktop is classified into

  • Tableau Desktop Personal: The development features are similar to Tableau Desktop. Personal version keeps the workbook private, and the access is limited. The workbooks cannot be published online. Therefore, it should be distributed either Offline or in Tableau Public.
  • Tableau Desktop Professional: It is pretty much similar to Tableau Desktop. The difference is that the work created in the Tableau Desktop can be published online or in Tableau Server. Also, in Professional version, there is full access to all sorts of the datatype. It is best suitable for those who wish to publish their work in Tableau Server.

Tableau Public

It is Tableau version specially build for the cost-effective users. By the word “Public,” it means that the workbooks created cannot be saved locally; in turn, it should be saved to the Tableau’s public cloud which can be viewed and accessed by anyone.

There is no privacy to the files saved to the cloud since anyone can download and access the same. This version is the best for the individuals who want to learn Tableau and for the ones who want to share their data with the general public.

Tableau Server

The software is specifically used to share the workbooks, visualizations that are created in the Tableau Desktop application across the organization. To share dashboards in the Tableau Server, you must first publish your work in the Tableau Desktop. Once the work has been uploaded to the server, it will be accessible only to the licensed users.

However, It’s not necessary that the licensed users need to have the Tableau Server installed on their machine. They just require the login credentials with which they can check reports via a web browser. The security is high in Tableau server, and it is much suited for quick and effective sharing of data in an organization.

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The admin of the organization will always have full control over the server. The hardware and the software are maintained by the organization.

Tableau Online

As the name suggests, it is an online sharing tool of Tableau. Its functionalities are similar to Tableau Server, but the data is stored on servers hosted in the cloud which are maintained by the Tableau group.

There is no storage limit on the data that can be published in the Tableau Online. Tableau Online creates a direct link to over 40 data sources that are hosted in the cloud such as the MySQL, Hive, Amazon Aurora, Spark SQL and many more.

To publish, both Tableau Online and Server require the workbooks created by Tableau Desktop. Data that is streamed from the web applications say Google Analytics, Salesforce.com are also supported by Tableau Server and Tableau Online.

Tableau Reader

Tableau Reader is a free tool which allows you to view the workbooks and visualizations created using Tableau Desktop or Tableau Public. The data can be filtered but editing and modifications are restricted. The security level is zero in Tableau Reader as anyone who gets the workbook can view it using Tableau Reader.

If you want to share the dashboards that you have created, the receiver should have Tableau Reader to view the document.

How does Tableau work?

Tableau connects and extracts the data stored in various places. It can pull data from any platform imaginable. A simple database such as an excel, pdf, to a complex database like Oracle, a database in the cloud such as Amazon webs services, Microsoft Azure SQL database, Google Cloud SQL and various other data sources can be extracted by Tableau.

When Tableau is launched, ready data connectors are available which allows you to connect to any database. Depending on the version of Tableau that you have purchased the number of data connectors supported by Tableau will vary.

The pulled data can be either connected live or extracted to the Tableau’s data engine, Tableau Desktop. This is where the Data analyst, data engineer work with the data that was pulled up and develop visualizations. The created dashboards are shared with the users as a static file. The users who receive the dashboards views the file using Tableau Reader.

The data from the Tableau Desktop can be published to the Tableau server. This is an enterprise platform where collaboration, distribution, governance, security model, automation features are supported. With the Tableau server, the end users have a better experience in accessing the files from all locations be it a desktop, mobile or email.

Tableau Uses

Following are the main uses and applications of Tableau:

  • Business Intelligence
  • Data Visualization
  • Data Collaboration
  • Data Blending
  • Real-time data analysis
  • Query translation into visualization
  • To import large size of data
  • To create no-code data queries
  • To manage large size metadata

Excel Vs. Tableau

Both Excel and Tableau are data analysis tools, but each tool has its unique approach to data exploration. However, the analysis in Tableau is more potent than excel.

Excel works with rows and columns in spreadsheets whereas Tableau enables in exploring excel data using its drag and drop feature. Tableau formats the data in Graphs, pictures that are easily understandable.

Parameters
Excel
Tableau

Purpose
Spreadsheet application used for manipulating the data.
Perfect visualization tool used for analysis.

Usage
Most suitable for statistical analysis of structured data.
Most suitable for quick and easy representation of big data which helps in resolving the big data issues.

Performance
Moderate speed with no option to quicken.
Moderate speed with options to optimize and enhance the progress of an operation.

Security
The inbuilt security feature is weak when compared to Tableau. The security update needs to be installed on a regular basis.
Extensive options to secure data without scripting. Security features like row level security and permission are inbuilt.

User Interface
To utilize excel to full potential, macro and visual basic scripting knowledge is required.
The tool can be used without any coding knowledge.

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Business need
Best for preparing on-off reports with small data
Best while working with big data.

Products
Bundled with MS Office tools
Comes with different versions such as the Tableau server, cloud, and desktop.

Integration
Excel integrates with around 60 applications
Tableaus integrated with over 250 applications

Real time data exploration
When you are working in excel, you need have an idea of where your data takes you to get to know the insights
In Tableaus, you are free to explore data without even knowing the answer that you want. With the in-built features like data blending and drill-down, you will be able to determine the variations and data patterns.

Easy Visualizations
When working in excel, we first manipulate the data that is present and then the visualization such as the different charts, graphs are created manually. To make the visualizations easily understandable, you should understand the features of excel well.
Whereas in Tableau, the data is visualized from the beginning.

To conclude, Tableau beats Excel in major areas like the interactive dashboards, visualizations, capabilities to work with large-scale data and many more.

Summary

  • Tableau definition or Tableau meaning: Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry.
  • The Tableau Product Suite consists of 1) Tableau Desktop 2) Tableau Public 3) Tableau Online 4) Tableau Server and Tableau Reader.
  • Tableau Desktop has a rich feature set and allows you to code and customize reports.
  • In Tableau public, workbooks created cannot be saved locally, in turn, it should be saved to the Tableau’s public cloud which can be viewed and accessed by anyone.
  • Tableau server is specifically used to share the workbooks, visualizations that are created in the Tableau Desktop application across the organization.
  • Tableau online has all the similar functionalities of the Tableau Server, but the data is stored on servers hosted in the cloud which are maintained by the Tableau group.
  • Tableau Reader is a free tool which allows you to view the workbooks and visualizations created using Tableau Desktop or Tableau Public.
  • Tableau connects and extracts the data stored in various places. It can pull data from any platform imaginable.
  • The spreadsheet application used for manipulating the data while Tableau is a perfect visualization tool used for analysis.


High Country Tableau User Group – October 19, 2021


Business Information Visualization: State of the Art and Science Dinko Bacic
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นอกจากการดูบทความนี้แล้ว คุณยังสามารถดูข้อมูลที่เป็นประโยชน์อื่นๆ อีกมากมายที่เราให้ไว้ที่นี่: ดูความรู้เพิ่มเติมที่นี่

High Country Tableau User Group - October 19, 2021

Introduction à Tableau


Cette vidéo vous montre comment accéder au site Tableau.com, télécharger l’appilication Tableau desktop, chercher une licence académique pour un an et comment créer un compte public.tableau.com.

Introduction à Tableau

เรียน Tableau พื้นฐาน Basic EP.1 Tableau Presenting Analytics for Data Visualization


เรียน Tableau พื้นฐาน Basic EP.1 Tableau Presenting Analytics for Data Visualization
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——— เรียนเสริมความรู้ด้าน Data Visualization for BI Developer and Data Scientist ———
Tableau Animation for COVID19
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Tableau Charts the Series
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Python for Data Visualization with Google Colab
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Data Visualization and Open Data Thailand
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Data Visualization Processes
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เรียน Tableau พื้นฐาน Basic EP.1 Tableau Presenting Analytics for Data Visualization

Tableau Full Course – Learn Tableau in 6 Hours | Tableau Training for Beginners | Edureka


🔥 Edureka Tableau Certification Training (Use Code \”𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎\”) : https://www.edureka.co/tableaucertificationtraining
This Edureka Tableau Full Course video will help you understand and learn Tableau in detail. This Tableau Tutorial is ideal for both beginners as well as professionals who want to master up their Tableau concepts. Below are the topics covered in this tableau training for beginners video:
00:00 Agenda
2:27 Introduction to Tableau \u0026 Data Visualization
2:39 What is Data Visualization?
3:37 Power of Data Visualization
5:09 Scope of Visual Analytics
6:28 Data Visualization
7:16 Why Tableau?
9:11 What is Tableau?
10:25 Tableau Architecture
13:33 Tableau Desktop Installation
14:31 Tableau UI Connections
15:24 Tableau Datatypes
16:59 Tableau Desktop UI
18:09 Tableau UI Dimensions \u0026 Measures
19:52 Tableau UI Show me
25:14 Functions in Tableau
25:22 Join \u0026 Union
25:56 Sort
26:19 Set
26:36 Forecasting
27:19 Highlighting
27:44 Device Designer
28:26 Visual Analysis
33:55 Components of Tableau
34:05 Tableau Product Family
36:59 Pros of Tableau
39:07 How to use Tableau
39:12 Connecting to Data
42:02 Joins
43:42 Show me the Data
44:38 Filters
46:59 Hierarchies
48:10 Groups
48:56 Sets
49:22 Data Types
51:57 Tableau Success
53:02 Demo US Crime Dataset
1:02:58 Charts \u0026 Graphs
1:03:37 Generated Fields
1:09:16 Building Charts in Tableau
1:09:29 Bar Chart
1:11:14 Pareto Chart
1:14:39 Bullet Chart
1:16:56 Text Chart
1:17:35 Heat Map
1:18:40 Waterfall Chart
1:20:37 Gantt Chart
1:22:28 Pie Chart
1:23:09 Scatter Plot
1:24:11 Area Chart
1:24:48 Dual Axis Chart
1:25:43 Bubble Chart
1:26:08 Histogram
1:27:03 Features of Tableau
1:30 Dashboarding in Tableau
1:30:35 Use Case: Indian Premier League
2:11:43 Functions
2:12:41 Number Functions
2:36:55 String Functions
2:49:09 Date Functions
2:57:59 Type Conversion Functions
3:02:17 Aggregate Functions
3:08:12 Logical Functions
3:15:38 Level of Details
3:16:58 Introduction to LOD
3:18:29 Types of LOD
3:18:44 Working of LOD Expressions
3:21:44 Include Calculation
3:22:18 Exclude Calculation
3:22:46 Fixed Calculation
3:23:51 Aggregation \u0026 Level of Detail
3:26:46 Nesting in Level of Details
3:27:45 Data Sources Supported by LOD
3:27:57 How to create Level of Detail Expressions
3:33:35 Limitations of Level of Detail
3:35:20 Parameters
3:36:31 What are Parameters in Tableau?
3:38:46 Getting Started on the Desktop
3:41:25 Creating a parameter in Tableau
3:43:19 Using the parameter in a calculation
3:45:32 Parameter Control in Tableau
3:46:54 Using Parameters in your Visualization
3:49:47 Data Blending
3:50:55 Objective of Data Blending
3:53:36 Introduction to Data Blending in Tableau
3:53:53 Joining vs Blending in Tableau
3:54:03 Data Joining
3:54:47 Data Blending
3:59:52 Limitations of Data Blending
4:01:22 How to become a Tableau Developer
4:02:37 Who is a Tableau Developer?
4:04:58 Tableau Developer Roles \u0026 Responsibilities
4:08:12 Skills Required to become a Data Scientist
4:10:25 Tableau Training @ Edureka
4:12:33 Tableau Interview Questions
Check our complete Tableau playlist here: https://goo.gl/NTpehs

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edureka TableauFullCourse TableauTraining TableauTutorial TableauTutorialForBeginners TableauDashboard TableauTraining TableauCertification
How it Works?
1. This is a 5 Week / 15 day Instructor led Online Course, 30 hours of online training, 20 hours of assignment and 15 hours of project work
2. We have a 24×7 OneonOne LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. Towards the end of the Edureka Tableau online training, you will be working on a realtime project. Once you are successfully through with the project (reviewed by an expert), you will receive a Tableau certification with a performance based grading.

About the Tableau Training
Edureka’s online training on Tableau will cover various concepts of data visualization in depth, including conditional formatting, scripting, linking charts, dashboard integration, Tableau integration with R and more. The course includes a handson project on Tableau that will help you test your Tableau skills gained from our Tableau training. You will be awarded with a Tableau certification on successful completion of the online course.

Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (tollfree) for more information.

Tableau Full Course - Learn Tableau in 6 Hours | Tableau Training for Beginners | Edureka

เรียน Tableau พื้นฐาน Basic EP.4 Tableau Presenting Analytics for Data Visualization


เรียน Tableau พื้นฐาน Basic EP.4 Tableau Presenting Analytics for Data Visualization
ไฟล์ Data ที่ใช้
http://bit.ly/data_tb
Workshop: Data Visualization with Tableau Software for Data Analysts
Cr. https://www.tableau.com/learn/training/20201
——— เรียนเสริมความรู้ด้าน Data Visualization for BI Developer and Data Scientist ———
Tableau Animation for COVID19
https://www.youtube.com/playlist?list=PLXa5kzW5T_05JiPD5gFtsp5L3U5nuA7r
Tableau Charts the Series
https://www.youtube.com/playlist?list=PLXa5kzW5T_17Rvf6a9H4tySaWzE2uMMb
Python for Data Visualization with Google Colab
https://www.youtube.com/playlist?list=PLXa5kzW5T_2XskCSMWUwzzSYuhFaImSC
Data Visualization
https://www.youtube.com/playlist?list=PLXa5kzW5T_3Nrfo6e1TIpoWQgKH_cxLA
Data Visualization and Open Data Thailand
https://www.youtube.com/playlist?list=PLXa5kzW5T_3vj7ssaaJCJbvkICbJl_d
Data Visualization Processes
https://www.youtube.com/playlist?list=PLXa5kzW5T_0OkurbLrXbmXSfmrpUc9qW
RapidMiner Studio for Data Science
https://www.youtube.com/playlist?list=PLXa5kzW5T_0MSO6o8RxR98Fna1Hr6QLq
Introduction to Artificial Intelligence/Data Science/IoT/Cloud/Big Data
https://www.youtube.com/playlist?list=PLXa5kzW5T_3YvAcYTxpmDA6S06V8deGq
Aj. NesT the Series Channel คือ ช่อง YouTube ที่เน้นสาระการเรียนรู้เพื่อฝึกให้ผู้เรียนพัฒนาตนเองทางด้านการศึกษาเทคโนโลยีคอมพิวเตอร์ การพัฒนาการเขียนโปรแกรมทั้งระดับฮาร์ดแวร์และซอฟต์แวร์ การพัฒนางานทางด้านวิศวกรรมและวิทยาศาสตร์ วิทยาการข้อมูล และสร้างสิ่งประดิษฐ์นวัตกรรมต่าง ๆ ที่มีประโยชน์ได้ด้วยตนเองไปพร้อมกับความสนุกสนานและความเข้าใจที่มุ่งหวังให้ผู้เรียนได้นำความรู้เหล่านี้ไปต่อยอดและประยุกต์ใช้เพื่อเพิ่มความสามารถของตนเองในการประกอบอาชีพได้
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เรียน Tableau พื้นฐาน Basic EP.4 Tableau Presenting Analytics for Data Visualization

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