Splunk essentials : a fast-paced and practical guide to demystifying big data and transforming it into operational intelligence / Betsy Page Sigman, Erickson Delgado.

Format:

Book

Author/Creator:

Sigman, Betsy Page, author.

Delgado, Erickson, author.

Series:

Professional expertise distilled.

Professional Expertise Distilled

Language:

English

Subjects (All):

Big data.

Data mining.

Automatic data collection systems.

Physical Description:

1 online resource (227 pages) : illustrations (some color).

Edition:

Second edition.

Place of Publication:

Birmingham, England : Packt Publishing, 2016.

System Details:

text file

Biography/History:

Sigman Betsy Page: 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 16 years, and has been recognized with awards for teaching and service. She has also worked at George Mason University in the past. Her recent publications include a Harvard Business case study and a Harvard Business review article. Additionally, she is a frequent media commentator on technological issues and big data. Soni Somesh: Somesh Soni is a Splunk Consultant with over 11 years of IT experience. He has bachelor degree in Computer Science (Hons. ) and has been a interested in exploring and learning new technologies throughout his whole life. He has extensive experience in Consulting, Architecture, Administration and Development in Splunk. He's proficient in various programming languages and tools including C#. NET/VB. NET, SSIS, and SQL Server etc. Somesh is currently working as a Splunk Master with Randstad Technologies. His activities are focused on Consulting, Implementation, Admin, Architecture and support related activities for Splunk. He started his career with the one of the Top 3 Indian IT giant He has executed projects for major fortune 500 companies like Coca-Cola, Wells Fargo, Microsoft, Capital Group etc. He has performed in various capacities of Technical Architect, Technical Lead, Onsite Coordinator, Technology Analyst etc. Somesh has been a great contributor in the Splunk Community work and has consistently been on the top of the list. He is a member of Splunk Trust 2015-16 and overall one of the topmost contributor to Splunk Answers community. Acknowledgement: I would like to thank my family and colleagues who have always encouraged and supported me to follow my dreams, my friends who put up with all my crazy antics while I went on a Splunk exploratory Journey and listened with patience on all the tips and tricks of Splunk which I shared with them. Last but not the least I would like to express my gratitude to the entire team of Packt Publishing Ltd for giving me this opportunity. Delgado Erickson: Erickson Delgado is an enterprise architect who loves to mine and analyze data. He began using Splunk in version 4. 0 and has pioneered its use into his current work. He has worked with start-up companies in the Philippines to help build their open source infrastructure. He has developed applications with Python and node. js and is interested in Go and recovering programming with C/C++. In the recent years, he engaged himself in employing DevOps in his work. He blows off steam by saltwater fishing, mountain biking, crafting robots, and touring the country. He lives in Orlando.

Summary:

A fast-paced and practical guide to demystifying big data and transforming it into operational intelligence About This Book Want to get started with Splunk to analyze and visualize machine data? Open this book and step into the world of Splunk. Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business This easy-to-follow, practical book can be used by anyone, even if you have never managed any data before Who This Book Is For This book will be perfect for you if you are a Software engineer or developer or System administrators or Business analyst who seek to correlate machine data with business metrics and provide intuitive real-time and statistical visualizations. Some knowledge or experience of previous versions of Splunk will be helpful but not essential. What You Will Learn Install and configure Splunk Gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields Be comfortable with the Search Processing Language and get to know the best practices in writing search queries Create stunning and powerful dashboards Be proactive by implementing alerts and scheduled reports Use the Splunk SDK and integrate Splunk data into other applications Implement the best practices in using Splunk. In Detail Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move 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. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk. Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.Packt...

Contents:

Splunk Essentials: Operational Intelligence at your fingertips

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed February 28, 2017).

OCLC:

961139196