Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

Peter Zadrozny

  • 出版商: Apress
  • 出版日期: 2013-05-22
  • 定價: $1,800
  • 售價: 9.0$1,620
  • 語言: 英文
  • 頁數: 376
  • 裝訂: Paperback
  • ISBN: 143025761X
  • ISBN-13: 9781430257615
  • 相關分類: Splunk大數據 Big-dataData Science
  • 立即出貨 (庫存=1)

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商品描述

Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk’s easy to use engine helps you recognize and react in real time, as events are occurring.

Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunk’s stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place.

With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in today’s fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence.

  • Built around hands-on projects
  • Shows how to mine social media
  • Opens the door to real-time operational intelligence

What you’ll learn

  • Monitor and mine social media for trends affecting your business
  • Know how you are perceived, and when that perception is rising or falling
  • Detect changing customer behavior from mining your operational data
  • Collect and analyze in real time, or from historical files
  • Apply basic analytical metrics to better understand your data
  • Create compelling visualizations and easily communicate your findings

Who this book is for

Big Data Analytics Using Splunk is for those who are interested in exploring the heaps of data they have available, but don’t know where to start. It is for the people who have knowledge of the data they want to analyze and are developers or SQL programmers at a level anywhere between beginners and intermediate. Expert developers also benefit from learning how to use such a simple and powerful tool as Splunk.

Table of Contents

  1. Part I: Splunk's Basic Operation: Getting to Know Splunk
  2. Part I: Splunk's Basic Operation: Getting Data into Splunk
  3. Part I: Splunk's Basic Operation: Processing and Analysing the Data
  4. Part I: Splunk's Basic Operation: Visualizing the Results
  5. Part I: Splunk's Basic Operation: Defining Alerts.
  6. Part I: Splunk's Basic Operation: Web Site Monitoring  
  7. Part I: Splunk's Basic Operation: Using Log Files to Create Advanced Analytics
  8. Part II: Airline On-Time Performance Project: On-Time Project Description
  9. Part II: Airline On-Time Performance Project: Getting Flight Data Into Splunk
  10. Part II: Airline On-Time Performance Project: Analyzing Airlines, Airports, Flights, and Delays
  11. Part II: Airline On-Time Performance Project: Analyzing a Specific Flight over Time 
  12. Part III: Social Media: Analyzing Twitter Data
  13. Part III: Social Media: Analyzing Foursquare Check-Ins
  14. Part III: Social Media: Sentiment Analysis
  15. Part IV: Architecture and Deployment: Distributed Topologies
  16. Part IV: Architecture and Deployment: High Availability
  17. Appendix A: The Performance of Splunk
  18. Appendix B: Related Applications

商品描述(中文翻譯)

《使用Splunk進行大數據分析》是一本實踐性的書籍,展示了如何實時處理和提取大數據的商業價值。書中的例子來自社交媒體源,如Twitter(推文)和Foursquare(簽到)。您還可以學習從機器數據中提取信息,例如分析網絡服務器日誌文件和用戶訪問模式,實時分析訪問情況。不再需要擔心公眾觀點的變化或客戶行為的突然變化。Splunk的易於使用的引擎幫助您在事件發生時實時識別和反應。

Splunk是一個功能強大但簡單的分析工具,在大數據和運營智能領域迅速獲得了廣泛應用。使用Splunk,您可以實時監控數據,或在事後進行數據挖掘。Splunk的出色可視化功能有助於在大量數據中找到有價值的信息。地理位置支持將數據分佈在地圖上,使您可以深入研究感興趣的地理區域。警報可以在後台運行,並在事件發生時觸發警報。

使用Splunk,您可以立即識別和反應社交媒體表達的變化趨勢和公眾觀點,以及電子商務和客戶行為的新模式。在當今快節奏的互聯網業務世界中,立即識別和反應變化趨勢提供了巨大的優勢。《使用Splunk進行大數據分析》為您打開了實時運營智能的精彩世界。

本書圍繞實踐項目展開,展示了如何從社交媒體中挖掘信息,並為實時運營智能打開了大門。

您將學到以下內容:
- 監控和挖掘社交媒體,了解對您的業務產生影響的趨勢
- 了解您的形象以及該形象的上升或下降
- 從挖掘操作數據中檢測客戶行為的變化
- 實時收集和分析數據,或從歷史文件中進行分析
- 應用基本分析指標以更好地理解您的數據
- 創建引人入勝的可視化效果,並輕鬆傳達您的發現

本書適合對探索可用數據感興趣但不知道從何處開始的人。對於對要分析的數據有一定了解並且是初學者到中級程度的開發人員或SQL程序員來說,這本書非常適合。專業開發人員也可以從學習如何使用Splunk這樣一個簡單而強大的工具中受益。