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Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman

(ebook) (audiobook) (audiobook) Książka w języku 1
Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman - okladka książki

Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman - okladka książki

Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman - audiobook MP3

Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman - audiobook CD

Autorzy:
J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
220
Dostępne formaty:
     PDF
     ePub
     Mobi
Splunk is a search, reporting, and analytics software platform for machine data, which has an ever-growing market adoption rate. More organizations than ever are adopting Splunk to make informed decisions in areas such as IT operations, information security, and the Internet of Things.

The first two chapters of the book will get you started with a simple Splunk
installation and set up of a sample machine data generator, called Eventgen.
After this, you will learn to create various reports, dashboards, and alerts. You will
also explore Splunk's Pivot functionality to model data for business users. You
will then have the opportunity to test-drive Splunk's powerful HTTP Event Collector. After covering the core Splunk functionality, you'll be provided with some real-world best practices for using Splunk, and information on how to build upon what you've learned in this book.

Throughout the book, there will be additional comments and best practice
recommendations from a member of the SplunkTrust Community, called
Tips from the Fez.

Wybrane bestsellery

O autorach książki

J-P Contreras, a Splunk-certified administrator and sales engineer, has delivered value-oriented data analytics and performance planning solutions for 20+ years. He has built award-winning consulting teams to help companies turn data into analytical insights. He helps companies implement Splunk and enjoys everything the Splunk community offers. He received his MBA in e-commerce from DePaul University's Kellstadt Graduate School of Business, Chicago, in 2001. He trains in DePaul's Continuing Education Program and is a member of DePaul's Driehaus School of Business Advisory Board. He’d like to thank his family, especially his wife and children, and close friends for making life so enjoyable.
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.
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.

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