Big Data: A Tutorial-Based Approach
暫譯: 大數據：基於教程的方法

Raheem, Nasir

Big Data: A Tutorial-Based Approach
  • 出版商: CRC
  • 出版日期: 2019-02-25
  • 售價: $2,930
  • 貴賓價: 9.5 折 $2,784
  • 語言: 英文
  • 頁數: 202
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367183455
  • ISBN-13: 9780367183455
  • 相關分類: 大數據 Big-data

    • 海外代購書籍(需單獨結帳)

商品描述

Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the 'What', 'How', and 'Why' of Big Data.

Features

  • Identifies the primary drivers of Big Data

  • Walks readers through the theory, methods and technology of Big Data

  • Explains how to handle the 4 V's of Big Data in order to extract value for better business decision making

  • Shows how and why data connectors are critical and necessary for Agile text analytics

  • Includes in-depth tutorials to perform necessary set-ups, installation, configuration and execution of important tasks

  • Explains the command line as well as GUI interface to a powerful data exchange tool between Hadoop and legacy r-dbms databases

商品描述(中文翻譯)

《大數據：基於教程的方法》探討了用於結合結構化和非結構化數據的工具和技術。它專注於Hadoop分散式儲存和MapReduce處理，通過實施(i) Hadoop生態系統的工具和技術，(ii) Hadoop分散式檔案系統基礎架構，以及(iii) 高效的MapReduce處理。這本書包括使用案例和教程，提供一個綜合的方法來回答大數據的「什麼」、「如何」和「為什麼」。

特點
- 確定大數據的主要驅動因素
- 引導讀者了解大數據的理論、方法和技術
- 解釋如何處理大數據的四個V，以提取價值以便做出更好的商業決策
- 顯示數據連接器如何以及為什麼對敏捷文本分析至關重要和必要
- 包含深入的教程，以執行必要的設置、安裝、配置和重要任務的執行
- 解釋命令行以及GUI介面作為Hadoop與舊版r-dbms數據庫之間強大數據交換工具的介面

作者簡介

Nasir Raheem is an accomplished, innovative, and results-driven project manager, architect and business analyst with over 20 years of wide-ranging experience encompassing I.T Infra-structure design, planning and implementation of highly integrated systems that included Big Data (HIVE) Database Administration, Business Re-engineering, Asset & Data management (ServiceNow), Data Integration, Data Modeling, Disaster Recovery and ERP Database /Application cloning projects. He is an experienced manager of IT projects related to multi-billion dollar corporate mergers, migration, server upgrades, database upgrades, data conversion, cloning and integration of supply chain management ERP and CRM application modules at Wells Fargo Bank, WebTV (now Microsoft) and Hitachi Global Storage Technologies (now Western Digital). He is also a published author and instructor of an online course approved by Harvard University Innovation Lab, 'March towards Big Data.'

作者簡介(中文翻譯)

納西爾·拉希姆（Nasir Raheem）是一位成就卓越、創新且以結果為導向的專案經理、架構師和商業分析師，擁有超過20年的廣泛經驗，涵蓋了資訊科技基礎設施設計、高度整合系統的規劃與實施，包括大數據（HIVE）資料庫管理、業務重組、資產與資料管理（ServiceNow）、資料整合、資料建模、災難恢復以及ERP資料庫/應用程式克隆專案。他在與數十億美元的企業合併、遷移、伺服器升級、資料庫升級、資料轉換、克隆及整合供應鏈管理ERP和CRM應用模組方面，擁有豐富的IT專案管理經驗，曾在富國銀行（Wells Fargo Bank）、WebTV（現為微軟）和日立全球儲存技術（Hitachi Global Storage Technologies，現為西部數據）工作。他也是一位已出版的作者，並且是哈佛大學創新實驗室認可的線上課程「邁向大數據」（March towards Big Data）的講師。

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