Data Democratization with Domo: Bring together every component of your business to make better data-driven decisions using Domo
暫譯: 使用 Domo 實現數據民主化:整合業務各個組件,以便利用 Domo 做出更好的數據驅動決策

Burtenshaw, Jeff

  • 出版商: Packt Publishing
  • 出版日期: 2022-06-17
  • 售價: $1,950
  • 貴賓價: 9.5$1,853
  • 語言: 英文
  • 頁數: 576
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800568428
  • ISBN-13: 9781800568426
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Overcome data challenges at record speed and cloud-scale that optimize businesses by transforming raw data into dashboards and apps which democratize data consumption, supercharging results with the cloud-based solution, Domo

Key Features

- Acquire data and automate data pipelines quickly for any data volume, variety, and velocity
- Present relevant stories in dashboards and custom apps that drive favorable outcomes using Domo
- Share information securely and govern content including Domo content embedded in other tools

Book Description

Domo is a power-packed business intelligence (BI) platform that empowers organizations to track, analyze, and activate data in record time at cloud scale and performance.

Data Democratization with Domo begins with an overview of the Domo ecosystem. You'll learn how to get data into the cloud with Domo data connectors and Workbench; profile datasets; use Magic ETL to transform data; work with in-memory data sculpting tools (Data Views and Beast Modes); create, edit, and link card visualizations; and create card drill paths using Domo Analyzer. Next, you'll discover options to distribute content with real-time updates using Domo Embed and digital wallboards. As you advance, you'll understand how to use alerts and webhooks to drive automated actions. You'll also build and deploy a custom app to the Domo Appstore and find out how to code Python apps, use Jupyter Notebooks, and insert R custom models. Furthermore, you'll learn how to use Auto ML to automatically evaluate dozens of models for the best fit using SageMaker and produce a predictive model as well as use Python and the Domo Command Line Interface tool to extend Domo. Finally, you'll learn how to govern and secure the entire Domo platform.

By the end of this book, you'll have gained the skills you need to become a successful Domo master.

What you will learn

- Understand the Domo cloud data warehouse architecture and platform
- Acquire data with Connectors, Workbench, and Federated Queries
- Sculpt data using no-code Magic ETL, Data Views, and Beast Modes
- Profile data with the Data Dictionary, Data Profile, and Usage tools
- Use a storytelling pattern to create dashboards with Domo Stories
- Create, share, and monitor custom alerts activated using webhooks
- Create custom Domo apps, use the Domo CLI, and code with the Python API
- Automate model operations with Python programming and R scripting

Who this book is for

This book is for BI developers, ETL developers, and Domo users looking for a comprehensive, end-to-end guide to exploring Domo features for BI. Chief data officers, data strategists, architects, and BI managers interested in a new paradigm for integrated cloud data storage, data transformation, storytelling, content distribution, custom app development, governance, and security will find this book useful. Business analysts seeking new ways to tell relevant stories to shape business performance will also benefit from this book. A basic understanding of Domo will be helpful.

商品描述(中文翻譯)

克服數據挑戰,以創紀錄的速度和雲端規模優化業務,將原始數據轉換為儀表板和應用程式,實現數據消費的民主化,並通過基於雲的解決方案 Domo 提升結果。

主要特點

- 快速獲取數據並自動化數據管道,適用於任何數據量、類型和速度
- 使用 Domo 在儀表板和自定義應用程式中呈現相關故事,推動有利結果
- 安全地分享信息並管理內容,包括嵌入在其他工具中的 Domo 內容

書籍描述

Domo 是一個功能強大的商業智慧 (BI) 平台,使組織能夠在雲端規模和性能下,以創紀錄的速度追蹤、分析和啟用數據。

《Domo 的數據民主化》從 Domo 生態系統的概述開始。您將學習如何使用 Domo 數據連接器和工作台將數據導入雲端;對數據集進行分析;使用 Magic ETL 轉換數據;使用內存數據雕刻工具(數據視圖和 Beast 模式);創建、編輯和鏈接卡片可視化;以及使用 Domo Analyzer 創建卡片深入路徑。接下來,您將發現使用 Domo Embed 和數位看板分發內容的實時更新選項。隨著進一步的學習,您將了解如何使用警報和網絡鉤子來驅動自動化操作。您還將構建並部署自定義應用程式到 Domo Appstore,並了解如何編寫 Python 應用程式、使用 Jupyter Notebooks 和插入 R 自定義模型。此外,您將學習如何使用 Auto ML 自動評估數十個模型以找到最佳匹配,使用 SageMaker 生成預測模型,並使用 Python 和 Domo 命令行介面工具擴展 Domo。最後,您將學習如何管理和保護整個 Domo 平台。

在本書結束時,您將獲得成為成功 Domo 大師所需的技能。

您將學習的內容

- 理解 Domo 雲端數據倉庫架構和平台
- 使用連接器、工作台和聯邦查詢獲取數據
- 使用無代碼的 Magic ETL、數據視圖和 Beast 模式雕刻數據
- 使用數據字典、數據分析和使用工具對數據進行分析
- 使用故事講述模式創建 Domo Stories 儀表板
- 創建、分享和監控使用網絡鉤子啟動的自定義警報
- 創建自定義 Domo 應用程式,使用 Domo CLI,並使用 Python API 編碼
- 使用 Python 編程和 R 腳本自動化模型操作

本書適合誰

本書適合 BI 開發人員、ETL 開發人員和尋求全面端到端指南以探索 Domo 功能的 Domo 使用者。首席數據官、數據策略師、架構師和對集成雲端數據存儲、數據轉換、故事講述、內容分發、自定義應用程式開發、治理和安全感興趣的 BI 經理將會發現本書非常有用。尋求新方法講述相關故事以塑造業務表現的商業分析師也將從本書中受益。對 Domo 有基本了解將會有所幫助。

目錄大綱

1. Domo Ecosystem Overview
2. Importing Data
3. Storing Data
4. Sculpting Data
5. Sculpting Data In-Memory
6. Creating Dashboards
7. Working with Drill Pathways
8. Interacting with Dashboards
9. Interacting with Cards
10. Telling Relevant Stories
11. Distributing Stories
12. Alerting
13. Buzzing
14. Extending Domo with Domo Apps
15. Using Domo APIs in Python
16. Using Domo Machine Learning
17. Securing Assets
18. Organizing the Team
19. Establishing Standard Procedures

目錄大綱(中文翻譯)

1. Domo Ecosystem Overview

2. Importing Data

3. Storing Data

4. Sculpting Data

5. Sculpting Data In-Memory

6. Creating Dashboards

7. Working with Drill Pathways

8. Interacting with Dashboards

9. Interacting with Cards

10. Telling Relevant Stories

11. Distributing Stories

12. Alerting

13. Buzzing

14. Extending Domo with Domo Apps

15. Using Domo APIs in Python

16. Using Domo Machine Learning

17. Securing Assets

18. Organizing the Team

19. Establishing Standard Procedures

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