Big Data Visualization
暫譯: 大數據視覺化

James D. Miller

  • 出版商: Packt Publishing
  • 出版日期: 2017-02-28
  • 售價: $2,000
  • 貴賓價: 9.5$1,900
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Paperback
  • ISBN: 1785281941
  • ISBN-13: 9781785281945
  • 相關分類: 大數據 Big-dataData-visualization
  • 海外代購書籍(需單獨結帳)

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商品描述

Key Features

  • This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease
  • It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf
  • Improve your decision-making by visualizing your big data the right way

Book Description

When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations to improve better decision making.

This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau.

We will show you how data changes with different variables and how to visualize data in real time and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics, the work arounds to typical big data visualization challenges, and the most popular libraries that work with big data.

The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques that are most suited for big data. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data can be visualized. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI.

What you will learn

  • Understand how "basic analytics" is affected by big data
  • Deep dive into effective and efficient ways of visualizing big data
  • Get to know approaches (using various technologies) to address the challenges of visualizing big data
  • Comprehend the concepts and models used to visualize big data
  • Know how to visualize big data in real time and for different use cases
  • Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau
  • Get to know the value and process of integrating visual big data with BI tools such as Tableau
  • Make sense of the visualization options for big data, based upon the most suited visualization techniques for big data

商品描述(中文翻譯)

關鍵特點
- 本書獨特的指南教你如何輕鬆地視覺化你雜亂無章的大量大數據
- 本書內容豐富,提供了大量選項和穩固的案例,對於大數據視覺化來說是一本必備的書籍
- 透過正確的方式視覺化大數據,改善你的決策能力

書籍描述
當談到大數據時,普通的數據視覺化工具及其基本功能已經不夠。本書涵蓋了用於視覺化大數據的概念和模型,重點在於高效的視覺化以改善決策。

本書圍繞大數據視覺化及其挑戰,解決視覺化的特徵挑戰,例如訪問速度、理解/添加上下文、改善數據質量、顯示結果、異常值等。我們專注於執行大數據視覺化任務的最受歡迎的庫,並探索以「大數據為導向」的工具,如Hadoop和Tableau。

我們將展示數據如何隨著不同變數而變化,以及如何在實時和不同用例中視覺化數據,涵蓋的主題包括:將數據導入Hadoop、基本分析、解決典型大數據視覺化挑戰的工作方法,以及與大數據配合的最受歡迎的庫。

視覺化的選擇取決於最適合大數據的技術,我們將展示基於行業驗證技術的各種大數據視覺化選項,這些技術最適合大數據。然後,你將學會如何將流行的視覺化工具與圖形數據庫整合,以查看如何視覺化大量特定數據。最後,你將了解如何使用Cognos BI顯示視覺化大數據與商業智慧(BI)的整合。

你將學到的內容
- 理解「基本分析」如何受到大數據的影響
- 深入探討有效且高效的大數據視覺化方法
- 瞭解使用各種技術來解決大數據視覺化挑戰的方法
- 理解用於視覺化大數據的概念和模型
- 知道如何在實時和不同用例中視覺化大數據
- 理解如何整合流行的儀表板視覺化工具,如Splunk和Tableau
- 瞭解將視覺化大數據與BI工具(如Tableau)整合的價值和過程
- 根據最適合大數據的視覺化技術,理解大數據的視覺化選項