Tableau Prep Cookbook: Use Tableau Prep to clean, combine, and transform your data for analysis
暫譯: Tableau Prep 食譜:使用 Tableau Prep 清理、合併和轉換數據以進行分析

Kleine, Hendrik

  • 出版商: Packt Publishing
  • 出版日期: 2021-03-19
  • 售價: $1,840
  • 貴賓價: 9.5$1,748
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800563760
  • ISBN-13: 9781800563766
  • 相關分類: Data-visualization
  • 海外代購書籍(需單獨結帳)

商品描述

Explore common and not-so-common data transformation scenarios and solutions to become well-versed with Tableau Prep and create efficient and powerful data pipelines

Key Features

  • Combine, clean, and shape data for analysis using self-service data preparation techniques
  • Become proficient with Tableau Prep for building and managing data flows across your organization
  • Learn how to combine multiple data transformations in order to build a robust dataset

Book Description

Tableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.

The book starts by showing you how to set up Tableau Prep Builder. You'll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You'll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you'll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you'll apply the knowledge you've gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis.

By the end of this book, you'll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.

What you will learn

  • Perform data cleaning and preparation techniques for advanced data analysis
  • Understand how to combine multiple disparate datasets
  • Prepare data for different Business Intelligence (BI) tools
  • Apply Tableau Prep's calculation language to create powerful calculations
  • Use Tableau Prep for ad hoc data analysis and data science flows
  • Deploy Tableau Prep flows to Tableau Server and Tableau Online

Who this book is for

This book is for business intelligence professionals, data analysts, and Tableau users looking to learn Tableau Prep essentials and create data pipelines or ETL processes using it. Beginner-level knowledge of data management will be beneficial to understand the concepts covered in this Tableau cookbook more effectively.

商品描述(中文翻譯)

**探索常見及不常見的數據轉換場景和解決方案,熟悉 Tableau Prep,並創建高效且強大的數據管道**

#### 主要特點

- 使用自助式數據準備技術來合併、清理和塑造數據以進行分析
- 精通 Tableau Prep,以便在您的組織中構建和管理數據流
- 學習如何結合多個數據轉換,以建立穩健的數據集

#### 書籍描述

Tableau Prep 是 Tableau 軟體套件中的一個工具,專門用於開發數據管道。本書將詳細描述您可以在環境中應用的各種場景,以開發、發布和維護複雜的提取、轉換和加載(ETL)數據管道。

本書首先展示如何設置 Tableau Prep Builder。您將學習如何從各種數據來源獲取數據,包括文件、數據庫和 Tableau 提取。接下來,本書演示如何在 Tableau Prep Builder 中執行數據清理和數據聚合。您還將了解 Tableau Prep Builder 及其如何幫助您創建數據管道,以準備數據進行下游分析過程,包括在 Tableau 中的報告和儀表板創建。作為 Tableau Prep 流的一部分,您還將探索如何使用 R 和 Python 在數據管道中實現數據科學組件。在最後一章中,您將應用所學知識從零開始構建兩個使用案例,包括為零售商店準備穩健數據集的數據流,使用多個不同來源,以及為呼叫中心執行即時數據分析的數據流。

在本書結束時,您將能夠創建、運行和發布 Tableau Prep 流,並實施解決數據管道中常見問題的方案。

#### 您將學到什麼

- 執行數據清理和準備技術以進行高級數據分析
- 理解如何合併多個不同的數據集
- 為不同的商業智慧(BI)工具準備數據
- 應用 Tableau Prep 的計算語言來創建強大的計算
- 使用 Tableau Prep 進行即時數據分析和數據科學流
- 將 Tableau Prep 流部署到 Tableau Server 和 Tableau Online

#### 本書適合誰

本書適合商業智慧專業人士、數據分析師和希望學習 Tableau Prep 基礎知識並使用它創建數據管道或 ETL 流程的 Tableau 使用者。具備初級數據管理知識將有助於更有效地理解本 Tableau 食譜中涵蓋的概念。

作者簡介

Hendrik Kleine is an advanced analytics leader with 15 years of experience in the analytics space, including in data architecture, engineering, and visualization. He specializes in translating vast amounts of data into easy-to-understand visual communications that provide actionable intelligence. He is an avid innovator and a listed author of multiple data-related inventions. Before COVID-19, he was a speaker at the most recent Tableau conference in San Francisco.

作者簡介(中文翻譯)

亨德里克·克萊納擁有15年的高級分析領域經驗,專注於數據架構、工程和可視化。他專長於將大量數據轉化為易於理解的視覺傳達,提供可行的情報。他是一位熱衷於創新的專家,並且是多項與數據相關的發明的列名作者。在COVID-19之前,他曾在最近一次於舊金山舉行的Tableau大會上擔任演講者。

目錄大綱

  1. Getting Started with Tableau Prep
  2. Extract and Load Processes
  3. Cleaning Transformations
  4. Data Aggregation
  5. Combining Data
  6. Pivoting Data
  7. Creating Powerful Calculations
  8. Data Science in Tableau Prep Builder
  9. Creating Prep Flows in Various Business Scenarios

目錄大綱(中文翻譯)


  1. Getting Started with Tableau Prep

  2. Extract and Load Processes

  3. Cleaning Transformations

  4. Data Aggregation

  5. Combining Data

  6. Pivoting Data

  7. Creating Powerful Calculations

  8. Data Science in Tableau Prep Builder

  9. Creating Prep Flows in Various Business Scenarios