Splunk Essentials 2E

A fast-paced and practical guide to demystifying big data and transforming it into operational intelligence

Betsy Page Sigman , Erickson Delgado 지음

Packt(GCO Science) 2016년 09월 30일 출간

작품소개

책소개

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목차

1: SPLUNK IN ACTION
2: BRINGING IN DATA
3: SEARCH PROCESSING LANGUAGE
4: DATA MODELS AND PIVOT
5: DATA OPTIMIZATION, REPORTS, ALERTS, AND ACCELERATING SEARCHES
6: PANES OF GLASS
7: SPLUNK SDK FOR JAVASCRIPT AND D3.JS
8: HTTP EVENT COLLECTOR
9: BEST PRACTICES AND ADVANCED QUERIES

책 속으로

▶What this book covers
- Chapter 1, Splunk in Action, introduces you to Splunk Enterprise Software and its powerful capabilities.
- Chapter 2, Bringing in Data, explains indexing and searching in Splunk, and introduces other data concepts that are important to understand.
- Chapter 3, Search Processing Language, develops your skills in using Search Processing Language (SPL).
- Chapter 4, Data Models and Pivot, shows you how to create a data model as well as a pivot table using Splunk.
- Chapter 5, Data Optimization, Reports, Alerts, and Accelerating Searches, explores how to use data optimization and search acceleration with Splunk, and how to create effective reports and alerts.
- Chapter 6, Panes of Glass, takes you step-by-step through the development of dashboard.
- Chapter 7, Splunk SDK for JavaScript and D3.js, instructs you on how to use a Splunk SDK and D3 to create effective and attractive website visualizations.
- Chapter 8, HTTP Event Collector, introduces how to use Splunk to monitor HTTP events.
- Chapter 9, Best Practices and Advanced Queries, overviews various best practices for using Splunk and gives details on advanced queries that can be used to take advantage of Splunk’s many rich capabilities

출판사 서평

In Splunk Essentials, Second Edition, we have added many more features that readers should find useful. Splunk Enterprise Software, or Splunk, is an extremely powerful tool for searching, exploring, and visualizing data of all types. Splunk is becoming increasingly popular, as more and more businesses, both large and small, discover its ease and usefulness. Analysts, managers, students, and others can quickly learn how to use the data from their systems, networks, web traffic, and social media to make attractive and informative reports. This is a straightforward, practical, and quick introduction to Splunk that should have you making reports and gaining insights from your data in no time. We have added a number of helpful hints and exercises that will help you get up to speed with Splunk in no time. Throughout the book, we have provided step-by-step instructions, pointers, and illustrations to help you on your way.

인물정보

저자(글) Betsy Page Sigman

Betsy Page Sigman is a distinguished professor at the McDonough School of Business at Georgetown University in Washington, D.C. She has taught courses in statistics, project management, databases, and electronic commerce for the last 17 years and has been recognized with awards for teaching and service. Before arriving at Georgetown, she worked at George Mason University, the U.S. Bureau of the Census, Decision/Making/Information, the American Enterprise Institute, and the Social Science Data Center (now Roper Center) at the University of Connecticut.Her recent publications include a Harvard Business case study and a Harvard Business review article, articles in the Decision Sciences Journal of Innovative Education and Decision Line, and a case study in Educause Review Online. Additionally, she is a frequent media commentator on technological issues and big data.

저자(글) Erickson Delgado

Erickson Delgado is an enterprise architect who loves to mine and analyze data. He began using Splunk in version 4.0 and has pioneered the use of the application in his current work. In the earlier parts of his career, he worked with start-up companies in the Philippines to help build their open source infrastructure. He then worked in the cruise industry as a shipboard IT manager, and he loved it. From there, he was recruited to work at the company's headquarters as a software engineer.He has developed applications with Python and Node.js. He is interested in Go and is rediscovering programming with C/C++. He is crazy about visualization platforms and tools. In recent years, he has engaged himself with employing DevOps in his work.Since Erickson's routine revolves around technical practices, he blows off steam by saltwater fishing, mountain biking, crafting robots, and touring the country. He lives in Orlando.