Splunk:Enterprise Operational Intelligence Delivered

Splunk:Enterprise Operational Intelligence Delivered Book Cover
Splunk:Enterprise Operational Intelligence Delivered
By Betsy Page Sigman, Erickson Delgado, Josh Diakun, Paul F. Johnson, Derek Mock, Ashish Kumar Tulsiram Yadav
Publisher Finelybook 出版社:Packt Publishing
Release Date: February 2017
pages 页数:962
ISBN 13:9781787288256
ISBN-10 书号:1787280918
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 course will teach everything right from installing and configuring Splunk.
The first module is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk— before then moving on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields.
With more than 70 recipes on hand in the second module that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization.
Dive deep into Splunk to find the most efficient solution to your data problems in the third module. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery.
This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:
Authors
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.
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.
Contents
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
10:PLAY TIME – GETTING DATA IN
11:DIVING INTO DATA – SEARCH AND REPORT
12:DASHBOARDS AND VISUALIZATIONS – MAKING DATA SHINE
13:BUILDING AN OPERATIONAL INTELLIGENCE APPLICATION
14:EXTENDING INTELLIGENCE – DATA MODELS AND PIVOTING
15:DIVING DEEPER – ADVANCED SEARCHING
16:ENRICHING DATA – LOOKUPS AND WORKFLOWS
17:BEING PROACTIVE – CREATING ALERTS
18:SPEEDING UP INTELLIGENCE – DATA SUMMARIZATION
19:ABOVE AND BEYOND – CUSTOMIZATION, WEB FRAMEWORK, REST API, HTTP EVENT COLLECTOR, AND SDKS
20:WHAT’S NEW IN SPLUNK 6.3?
21:DEVELOPING AN APPLICATION ON SPLUNK
22:ON-BOARDING DATA IN SPLUNK
23:DATA ANALYTICS
24:ADVANCED DATA ANALYTICS
25:VISUALIZATION
26:ADVANCED VISUALIZATION
27:DASHBOARD CUSTOMIZATION
28:ADVANCED DASHBOARD CUSTOMIZATION
29:TWEAKING SPLUNK
30:ENTERPRISE INTEGRATION WITH SPLUNK
31:WHAT NEXT? SPLUNK 6.4

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