Splunk for Data Intelligence A Theoretical Overview

Splunk for Data Intelligence A Theoretical Overview
Free Download Splunk for Data Intelligence: A Theoretical Overview: Extracting Actionable Insights from Big Data with Operational Intelligence Tools by R. Parvin
English | November 5, 2024 | ISBN: N/A | ASIN: B0DM6KWB3L | 477 pages | EPUB | 1.12 Mb
Dive deep into the world of Splunk with "Splunk for Data Intelligence: A Theoretical Overview", your comprehensive guide to harnessing the power of big data for operational intelligence. This essential read is meticulously designed to walk professionals through the intricacies of Splunk, a leading platform for searching, monitoring, and analyzing machine-generated data.


Key Features:
* Thorough Introduction: Start with the basics of Splunk and its role in big data analysis, understanding operational intelligence, and exploring its key features and capabilities.
* Expert Guidance on Configuration: Learn how to install and set up Splunk, configure data inputs, manage indexes and indexers, and master the art of data collection through forwarders and customized Splunk Search Language.
* Advanced Data Handling Techniques: Delve into data ingestion, parsing, and normalization, enhancing your skills in using field extraction techniques and the Common Information Model (CIM).
* SPL Proficiency: Gain proficiency in Splunk Search Processing Language (SPL) with detailed chapters on building searches, using functions and commands, and handling time-based data.
* Visualization and Reporting: Create compelling dashboards and visualizations, build and share insightful reports, and apply data drill-downs effectively.
* In-depth Analytics and Insights: Explore modules on real-time data monitoring, predictive analytics, machine learning, and deriving business insights to make informed decisions.
* Security and Compliance: Address the critical areas of security information and event management (SIEM), compliance, audit reporting, and implementing security alerts with Splunk's robust tools.
* Operational Automation: Automate and schedule tasks, understand operational intelligence, and leverage Splunk apps for enhanced automation and operational efficiency.
* Scalability and Management: Tackle the challenges of scaling, managing high availability, and disaster recovery in Splunk environments.
* Extensive Integrations: Extend Splunk's capabilities through APIs, SDKs, and third-party data connectors, fostering a flexible and powerful ecosystem.
* Practical Case Studies: Apply knowledge through case studies across various sectors like retail, healthcare, financial services, telecommunications, and the public sector, showcasing real-world applications of Splunk.
Appendices and Resources: Benefit from a wealth of additional resources including troubleshooting common issues, sample SPL queries for practice, and frequently asked questions.
Whether you're a beginner seeking to understand the basics or an experienced professional aiming to deepen your expertise in Splunk, this book provides the knowledge and tools necessary to transform vast amounts of machine-generated data into actionable insights. Prepare for the future of big data and operational intelligence with Splunk, and make this book an indispensable part of your technical library.


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