Transform machine-generated data into valuable business insights using the powers of Splunk
Splunk makes it easy for you to take control of your data and drive your business with the cutting edge of operational intelligence and business analytics. Through this Learning Path, you'll implement new services and utilize them to quickly and efficiently process machine-generated big data.
You'll begin with an introduction to the new features, improvements, and offerings of Splunk 7. You'll learn to efficiently use wildcards and modify your search to make it faster. You'll learn how to enhance your applications by using XML dashboards and configuring and extending Splunk. You'll also find step-by-step demonstrations that'll walk you through building an operational intelligence application. As you progress, you'll explore data models and pivots to extend your intelligence capabilities.
By the end of this Learning Path, you'll have the skills and confidence to implement various Splunk services in your projects.
This Learning Path includes content from the following Packt products:
This Learning Path is for data analysts, business analysts, and IT administrators who want to leverage the Splunk enterprise platform as a valuable operational intelligence tool. Existing Splunk users who want to upgrade and get up and running with Splunk 7.x will also find this book useful. Some knowledge of Splunk services will help you get the most out of this Learning Path.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
James D. Miller is an innovator and accomplished senior project lead and solution architect with 37 years' experience of extensive design and development across multiple platforms and technologies. Roles include leveraging his consulting experience to provide hands-on leadership in all phases of advanced analytics and related technology projects, providing recommendations for process improvement, report accuracy, the adoption of disruptive technologies, enablement, and insight identification. He has also written a number of books, including Statistics for Data Science; Mastering Predictive Analytics with R, Second Edition; Big Data Visualization; Learning Watson Analytics; and many more.
Paul R Johnson has over 10 years of data intelligence experience in the areas of information security, operations, and compliance. He is a partner at Discovered Intelligence, a company specializing in data intelligence services and solutions. Paul previously worked for a Fortune 10 company, leading IT risk intelligence initiatives and managing a global Splunk deployment. Paul co-founded the Splunk Toronto User Group and lives and works in Toronto, Canada.
Josh Diakun is an IT operations and security specialist with a focus on creating data-driven operational processes. He has over 10 years of experience managing and architecting enterprise-grade IT environments. For the past 7 years, he has been architecting, deploying and developing on Splunk as the core platform for organizations to gain security and operational intelligence. Josh is a founding partner at Discovered Intelligence, a company specializing in data intelligence services and solutions. He is also a co-founder of the Splunk Toronto User Group.
Derek Mock is a software developer and big data architect who specializes in IT operations, information security, and cloud technologies. He has 15 years' experience developing and operating large enterprise-grade deployments and SaaS applications. He is a founding partner at Discovered Intelligence, a company specializing in data intelligence services and solutions. For the past 6 years, he has been leveraging Splunk as the core tool to deliver key operational intelligence. Derek is based in Toronto, Canada, and is a co-founder of the Splunk Toronto User Group.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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