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James D. Miller

    Improving Your Splunk Skills
    Implementing Splunk 7
    • Implementing Splunk 7

      • 576 Seiten
      • 21 Lesestunden

      Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time.Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects

      Implementing Splunk 7
    • Transform machine-generated data into valuable business insights using Splunk. This Learning Path enables you to implement new services for efficiently processing big data. It begins with an introduction to the features and improvements of Splunk 7, teaching you to use wildcards and modify searches for enhanced performance. You'll learn to enhance applications through XML dashboards, configuration, and extension of Splunk, with step-by-step demonstrations for building operational intelligence applications. As you progress, you'll explore data models and pivots to expand your intelligence capabilities. By the end, you'll possess the skills to implement various Splunk services in your projects. Key learning outcomes include mastering Splunk Cloud and the Machine Learning Toolkit, creating efficient searches, and utilizing Splunk tables, charts, and graph enhancements. You'll also learn to work with data models and pivots, apply machine learning algorithms for forecasting and anomaly detection, and integrate advanced JavaScript charts while leveraging Splunk's API. This Learning Path is designed for data analysts, business analysts, and IT administrators looking to utilize Splunk as an operational intelligence tool. Existing users aiming to upgrade to Splunk 7.x will also benefit, especially with some prior knowledge of Splunk services.

      Improving Your Splunk Skills