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This guide follows a Splunk software engineering team on a journey to build solutions with partners, focusing on the real world use cases to showcase various technologies of the Splunk Developer Platform. Like a documentary, it captures our story from envisioning and user experience prototyping to development, packaging and multiple production deployments. It includes the diverse perspectives of developers and testers, administrators and product owners, security experts and release engineers. As on any real journey, we make mistakes, have arguments, and change our minds along the way. So in addition to showing you how best to do things, we highlight the pitfalls and issues that we encounter, and the solutions we find.The key element of this guidance, of course, is the code. We've made the code repos open, and recommend you study the source code of the reference apps and the associated tests. In fact, you can see and replay the code in motion, as it was developed. We encourage you to reuse and learn from it.
A comprehensive guide to making machine data accessible across the organization using advanced dashboards About This Book Enrich machine-generated data and transform it into useful, meaningful insights Perform search operations and configurations, build dashboards, and manage logs Extend Splunk services with scripts and advanced configurations to process optimal results Who This Book Is For This book is intended for data analysts, business analysts, and IT administrators who want to make the best use of big data, operational intelligence, log management, and monitoring within their organization. Some knowledge of Splunk services will help you get the most out of the book What You Will Learn Focus on the new features of the latest version of Splunk Enterprise 7 Master the new offerings in Splunk: Splunk Cloud and the Machine Learning Toolkit Create efficient and effective searches within the organization Master the use of Splunk tables, charts, and graph enhancements Use Splunk data models and pivots with faster data model acceleration Master all aspects of Splunk XML dashboards with hands-on applications Create and deploy advanced Splunk dashboards to share valuable business insights with peers In Detail 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 to quickly and efficiently process machine-generated big data. 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; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. 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 to help you implement Splunk services effectively and efficiently. By t ...
A comprehensive guide to making machine data accessible across the organization using advanced dashboards Key Features Enrich machine-generated data and transform it into useful, meaningful insights Perform search operations and configurations, build dashboards, and manage logs Extend Splunk services with scripts and advanced configurations to process optimal results Book Description 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 to quickly and efficiently process machine-generated big data. 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; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. 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 to help you implement Splunk services effectively and efficiently. 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 What you will learn Focus on the new features of the latest version of Splunk Enterprise 7 Master the new offerings in Splunk: Splunk Cloud and the Machine Learning Toolkit Create efficient and effective searches within the organization Master the use of Splunk tables, charts, and graph enhancements Use Splunk data models and pivots with faster data model acceleration Master all aspects of Splunk XML dashboards with hands-on applications Create and deploy advanced Splunk dashboards to share valuable business insights with peers Who this book is for This book is intended for data analysts, business analysts, and IT administrators who want to make the best use of big data, operational intelligence, log management, and monitoring within their organization. Some knowledge of Splunk services will help you get the most out of the book
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 such areas as IT Operations, Information Security and the Internet of Things. This book is for anyone who needs to get reports and analytics from machine data. The first two chapters of the book will quickly get you started with a simple Splunk installation and set up of a sample machine data generator, called Eventgen. You will then learn about searching machine data and enriching it with additional fields to provide analytical value. 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,who can then create visualizations with point and click ease. You will also 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 in using Splunk, and information on how to build upon what you've learned in this book to take Splunk to your organization. Throughout the book, there will be additional comments and best practice recommendations from a member of the Splunk Trust community, called "Tips from the Fez". Splunk Trust is a Splunk-sponsored community of the top Splunk talent in the marketplace
If you are a Splunk user and want to enter the wonderful world of Splunk application development, then this book is for you. Some experience with Splunk, writing searches, and designing basic dashboards is expected.
From Katy Perry training alongside US Marines in a music video, to the global box-office mastery of the US military-supported Transformers franchise, to the explosion of war games such as Call of Duty, it’s clear that the US security state is a dominant force in media culture. But is the ubiquity of cultural products that glorify the security state a new phenomenon? Or have Uncle Sam and Hollywood been friends for a long time? Hearts and Mines examines the rise and reach of the US Empire’s culture industry – a nexus between the US’s security state and media firms and the source of cultural products that promote American strategic interests around the world. Building on and extending Herbert I. Schiller’s classic study of US Empire and communications, Tanner Mirrlees interrogates the symbiotic geopolitical and economic relationships between the US state and media firms that drive the production of imperial culture.
Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.
An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.
ICT, e-government and electronic participation have become increasingly important in the public sector and the social sphere in recent years. This book presents 53 of the papers accepted for the dual IFIP EGOV-ePart conference 2016, which took place in Guimarães, Portugal, in September 2016. This conference, which consisted of five partially intersecting tracks, presented advances in the socio technological domain of the public sphere demonstrating cutting edge concepts, methods, and styles of investigation by multiple disciplines. The conference has been a premier academic forum for over 15 years and has a worldwide reputation as one of the top two conferences in the research domains of electronic, open and smart government, policy and electronic participation. The papers in this joint proceedings of the 2016 IFIP EGOV-ePart conference comprise accepted submissions from all categories and all tracks (with the exception of some 38 papers which are published separately). The book is divided into 9 sections: eParticipation, e-Government Evaluation, Open Data and Open Government, Governance, Smart Cities, e-Government Implementation and Adoption, Ph.D. Colloquium Papers, Posters, and Workshops. Offering a comprehensive overview of research and practice on electronic government and electronic participation, this book will be of interest to all those involved in the socio-technological domain of the public sphere.