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SoLoMo - Always-on im Handel
by Christian W. Gaiser Gerrit HeinemannDieses Fachbuch zeigt auf, welches Potenzial das mobile Internet für den stationären Handel darstellt. Das Shopping der Zukunft zeichnet sich durch ein begleitendes Zusammenspiel von sozialer Vernetzung, Lokalisierung und mobiler Internetnutzung beim Ladenbesuch aus. Dieser Dreiklang bildet die Basis für die ,,Synergien des SoLoMo", die neue Möglichkeiten der Vermarktungseffizienz - insbesondere für stationäre Händler - erschließen. Die Autoren greifen die sich daraus ergebenden Chancen auf, indem sie den aktuellen Stand der Forschung und Praxis zu dem Thema darstellen und die Basisfaktoren des SoLoMo umfassend klären. Dabei werden die Location-based Services (LBS), denen eine Schlüsselrolle im Handel der Zukunft zukommt, besonders gewichtet und mit einer empirischen Studie in Hinblick auf Nutzung sowie Potenzial erforscht. Neu in der 3. Auflage Die repräsentative Verbraucherbefragung von kaufDA und den beiden Autoren zum Thema ,,Mobiles Internet fördert die Wiederentdeckung des stationären Handels" wurde 2015 im Zeitreihenvergleich gegenüber 2013 und 2014 wiederholt. Sie zeigt den aktuellen Stand der Smartphone-Nutzung 2015. Zahlen, Daten, Fakten und Best Practices wurden aktualisiert. Der Inhalt Always-on und Always-in-Touch - das neue Kaufverhalten Social Commerce als Basisfaktor Nr. 1 des SoLoMo Location-based Services als Basisfaktor Nr. 2 des SoLoMo Mobile Commerce als Basisfaktor Nr. 3 des SoLoMo Empirische Studie von kaufDA - Status und Potenziale von Location-based Services
Source Code Analytics With Roslyn and JavaScript Data Visualization
by Sudipta MukherjeeLearn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft's Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. Roslyn exposes a set of APIs which allow developers to parse their C# and VB. NET code and drastically lower the barrier to entry for Meta programming in . NET. Roslyn has a dedicated set of APIs for creating custom refactoring for integrating with Visual Studio. This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3. js etc to create a scalable and highly responsive source code analytics system. What You Will Learn Understand the Roslyn Syntax API Use Data Visualization techniques to assist code analysis process visually Code health monitoring matrices (from the standard of Code Query Language) Code mining techniques to identify design patterns used in source code Code forensics techniques to identify probable author of a given source code Techniques to identify duplicate/near duplicate code Who This Book is For . NET Software Developers and Architects
Space, Place and Global Digital Work
by Jörg FleckerThis edited volume seeks to enhance our understanding of the concepts of space and place in the study of digital work. It argues that while digital work is often presented as 'placeless', work always takes place somewhere with a certain degree of local embeddedness. Contributors to this collection address restructuring processes that bring about delocalised digital work and point out limitations to dislocation inherent in the work itself, and the social relations or the physical artefacts involved. Exploring the dynamics of global value chains and shifts in the international division of labour, this book explores the impact these have on employment and working conditions, workers' agency in shaping and coping with changes in work, and the new competencies needed in virtual organisational environments. Combining different disciplinary perspectives, the volume teases out the spatial aspects of digital work at different scales ranging from team level to that of global production networks.
Spark: Big Data Cluster Computing in Production
by Ilya Ganelin Ema Orhian Kai Sasaki Brennon YorkProduction-targeted Spark guidance with real-world use cases Spark: Big Data Cluster Computing in Production goes beyond general Spark overviews to provide targeted guidance toward using lightning-fast big-data clustering in production. Written by an expert team well-known in the big data community, this book walks you through the challenges in moving from proof-of-concept or demo Spark applications to live Spark in production. Real use cases provide deep insight into common problems, limitations, challenges, and opportunities, while expert tips and tricks help you get the most out of Spark performance. Coverage includes Spark SQL, Tachyon, Kerberos, ML Lib, YARN, and Mesos, with clear, actionable guidance on resource scheduling, db connectors, streaming, security, and much more. Spark has become the tool of choice for many Big Data problems, with more active contributors than any other Apache Software project. General introductory books abound, but this book is the first to provide deep insight and real-world advice on using Spark in production. Specific guidance, expert tips, and invaluable foresight make this guide an incredibly useful resource for real production settings. Review Spark hardware requirements and estimate cluster size Gain insight from real-world production use cases Tighten security, schedule resources, and fine-tune performance Overcome common problems encountered using Spark in production Spark works with other big data tools including MapReduce and Hadoop, and uses languages you already know like Java, Scala, Python, and R. Lightning speed makes Spark too good to pass up, but understanding limitations and challenges in advance goes a long way toward easing actual production implementation. Spark: Big Data Cluster Computing in Production tells you everything you need to know, with real-world production insight and expert guidance, tips, and tricks.
Spark for Data Science
by Bikramaditya Singhal Srinivas DuvvuriAnalyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book * Perform data analysis and build predictive models on huge datasets that leverage Apache Spark * Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges * Work through practical examples on real-world problems with sample code snippets Who This Book Is For This book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you! What You Will Learn * Consolidate, clean, and transform your data acquired from various data sources * Perform statistical analysis of data to find hidden insights * Explore graphical techniques to see what your data looks like * Use machine learning techniques to build predictive models * Build scalable data products and solutions * Start programming using the RDD, DataFrame and Dataset APIs * Become an expert by improving your data analytical skills In Detail This is the era of Big Data. The words 'Big Data' implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects. Style and approach This book takes a step-by-step approach to statistical analysis and machine learning, and is explained in a conversational and easy-to-follow style. Each topic is explained sequentially with a focus on the fundamentals as well as the advanced concepts of algorithms and techniques. Real-world examples with sample code snippets are also included.
Spark for Data Science Cookbook
by Padma Priya ChitturiThis book is for novice and intermediate level data scientists and data analysts who want to solve data science problems using a distributed computing framework such as Spark. You are expected to have knowledge on statistics, data science tools such as R and Pandas, and an understanding of distributed systems, as well as some exposure to Hadoop.
Spark GraphX in Action
by Michael Malak Robin EastSummarySpark GraphX in Action starts out with an overview of Apache Spark and the GraphX graph processing API. This example-based tutorial then teaches you how to configure GraphX and how to use it interactively. Along the way, you'll collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyGraphX is a powerful graph processing API for the Apache Spark analytics engine that lets you draw insights from large datasets. GraphX gives you unprecedented speed and capacity for running massively parallel and machine learning algorithms.About the BookSpark GraphX in Action begins with the big picture of what graphs can be used for. This example-based tutorial teaches you how to use GraphX interactively. You'll start with a crystal-clear introduction to building big data graphs from regular data, and then explore the problems and possibilities of implementing graph algorithms and architecting graph processing pipelines. Along the way, you'll collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.What's InsideUnderstanding graph technologyUsing the GraphX APIDeveloping algorithms for big graphsMachine learning with graphsGraph visualizationAbout the ReaderReaders should be comfortable writing code. Experience with Apache Spark and Scala is not required.About the AuthorsMichael Malak has worked on Spark applications for Fortune 500 companies since early 2013. Robin East has worked as a consultant to large organizations for over 15 years and is a data scientist at Worldpay.Table of ContentsPART 1 SPARK AND GRAPHSTwo important technologies: Spark and graphsGraphX quick startSome fundamentalsPART 2 CONNECTING VERTICESGraphX BasicsBuilt-in algorithmsOther useful graph algorithmsMachine learningPART 3 OVER THE ARCThe missing algorithmsPerformance and monitoringOther languages and tools
Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology
by S. M. Niaz Arifin Gregory R. Madey Frank H. CollinsPresents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent-based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location-specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost-effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease-related projects. The book is also ideal for graduate-level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology.
Spatial Network Data
by Dev OliverThis brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this book, these challenges are conceptualized, well-defined problems are explored, and critical techniques are discussed. The process of summarizing spatial network data entails finding a compact description or representation of observations or activities on large spatial or spatiotemporal networks. However, summarizing spatial network data can be computationally challenging for various reasons, depending on the domain. The content has applications for professionals, organizations, and researchers in transportation safety, public safety, public health, disaster response, and related fields.
Spatio-Temporal Data Streams
by Zdravko GalićThis SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
Spatio-Temporal Recommendation in Social Media
by Hongzhi Yin Bin CuiThis book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users' behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users' behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
SPA Design and Architecture: Understanding single-page web applications
by Emmit A. Scott, Jr.SummarySPA Design and Architecture teaches you the design and development skills you need to create SPAs. Includes an overview of MV* frameworks, unit testing, routing, layout management, data access, pub/sub, and client-side task automation. This book is full of easy-to-follow examples you can apply to the library or framework of your choice.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyThe next step in the development of web-based software, single-page web applications deliver the sleekness and fluidity of a native desktop application in a browser. If you're ready to make the leap from traditional web applications to SPAs, but don't know where to begin, this book will get you going.About the BookSPA Design and Architecture teaches you the design and development skills you need to create SPAs. You'll start with an introduction to the SPA model and see how it builds on the standard approach using linked pages. The author guides you through the practical issues of building an SPA, including an overview of MV* frameworks, unit testing, routing, layout management, data access, pub/sub, and client-side task automation. This book is full of easy-to-follow examples you can apply to the library or framework of your choice.What's InsideWorking with modular JavaScriptUnderstanding MV* frameworksLayout managementClient-side task automationTesting SPAsAbout the ReaderThis book assumes you are a web developer and know JavaScript basics.About the AuthorEmmit Scott is a senior software engineer and architect with experience building large-scale, web-based applications.Table of ContentsPART 1 THE BASICSWhat is a single-page application?The role of MV* frameworksModular JavaScriptPART 2 CORE CONCEPTSNavigating the single pageView composition and layoutInter-module interactionCommunicating with the serverUnit testingClient-side task automationAPPENDIXESEmployee directory example walk-throughReview of the XMLHttpRequest APIChapter 7 server-side setup and summaryInstalling Node.js and Gulp.js
Speech and Audio Processing: A MATLAB®-based Approach
by Ian Vince McloughlinWith this comprehensive and accessible introduction to the field, you will gain all the skills and knowledge needed to work with current and future audio, speech, and hearing processing technologies. Topics covered include mobile telephony, human-computer interfacing through speech, medical applications of speech and hearing technology, electronic music, audio compression and reproduction, big data audio systems and the analysis of sounds in the environment. All of this is supported by numerous practical illustrations, exercises, and hands-on MATLAB examples on topics as diverse as psychoacoustics (including some auditory illusions), voice changers, speech compression, signal analysis and visualisation, stereo processing, low-frequency ultrasonic scanning, and machine learning techniques for big data. With its pragmatic and application driven focus, and concise explanations, this is an essential resource for anyone who wants to rapidly gain a practical understanding of speech and audio processing and technology.
Spider Man Unlimited Guia Não-Oficial
by João Wolf Joshua Abbott*Guia Não-Oficial* Dicas Avançadas e Guia de Estratégias. Este é o mais completo e o único guia detalhado que você encontrará on-line. Disponível para download instantâneo no seu celular, leitor de eBook, ou em forma impressa. Veja o que você irá receber ao adquirir este detalhado e avançado guia profissional de games. - Dicas e Estratégias Profissionais. - Formas de Trapacear. - Segredos, Dicas, Formas de Trapacear, Itens Desbloqueáveis, e Truques utilizados por Jogadores Profissionais! - Como Coletar Toneladas de Moeadas. - E MUITO MAIS! Aviso Legal: Este produto não é associado, afiliado, aprovado, certificado ou patrocinado pelo detentor original do Copyright. Todas as Marcas e Marcas Registradas que aparecem neste eBook são de propriedade dos seus respectivos donos.
Splunk Best Practices
by Travis MarletteDesign, implement, and publish custom Splunk applications by following best practices About This Book * This is the most up-to-date guide on the market and will help you finish your tasks faster, easier, and more efficiently. * Highly practical guide that addresses common and not-so-common pain points in Splunk. * Want to explore shortcuts to perform tasks more efficiently with Splunk? This is the book for you! Who This Book Is For This book is for administrators, developers, and search ninjas who have been using Splunk for some time. A comprehensive coverage makes this book great for Splunk veterans and newbies alike. What You Will Learn * Use Splunk effectively to gather, analyze, and report on operational data throughout your environment * Expedite your reporting, and be empowered to present data in a meaningful way * Create robust searches, reports, and charts using Splunk * Modularize your programs for better reusability. * Build your own Splunk apps and learn why they are important * Learn how to integrate with enterprise systems * Summarize data for longer term trending, reporting, and analysis In Detail This book will give you an edge over others through insights that will help you in day-to-day instances. When you're working with data from various sources in Splunk and performing analysis on this data, it can be a bit tricky. With this book, you will learn the best practices of working with Splunk. You'll learn about tools and techniques that will ease your life with Splunk, and will ultimately save you time. In some cases, it will adjust your thinking of what Splunk is, and what it can and cannot do. To start with, you'll get to know the best practices to get data into Splunk, analyze data, and package apps for distribution. Next, you'll discover the best practices in logging, operations, knowledge management, searching, and reporting. To finish off, we will teach you how to troubleshoot Splunk searches, as well as deployment, testing, and development with Splunk. Style and approach If you're stuck or want to find a better way to work with Splunk environment, this book will come handy. This easy-to-follow, insightful book contains step-by-step instructions and examples and scenarios that you will connect to.
Splunk Developer's Guide - Second Edition
by Kyle SmithLearn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide About This Book * This is the most up-to-date book on Splunk 6.3 for developers * Get ahead of being just a Splunk user and start creating custom Splunk applications as per your needs * Your one-stop-solution to Splunk application development Who This Book Is For This book is for those who have some familiarity with Splunk and now want to learn how to develop an efficient Splunk application. Previous experience with Splunk, writing searches, and designing basic dashboards is expected. What You Will Learn * Implement a Modular Input and a custom D3 data visualization * Create a directory structure and set view permissions * Create a search view and a dashboard view using advanced XML modules * Enhance your application using eventtypes, tags, and macros * Package a Splunk application using best practices * Publish a Splunk application to the Splunk community In Detail Splunk provides a platform that allows you to search data stored on a machine, analyze it, and visualize the analyzed data to make informed decisions. The adoption of Splunk in enterprises is huge, and it has a wide range of customers right from Adobe to Dominos. Using the Splunk platform as a user is one thing, but customizing this platform and creating applications specific to your needs takes more than basic knowledge of the platform. This book will dive into developing Splunk applications that cater to your needs of making sense of data and will let you visualize this data with the help of stunning dashboards. This book includes everything on developing a full-fledged Splunk application right from designing to implementing to publishing. We will design the fundamentals to build a Splunk application and then move on to creating one. During the course of the book, we will cover application data, objects, permissions, and more. After this, we will show you how to enhance the application, including branding, workflows, and enriched data. Views, dashboards, and web frameworks are also covered. This book will showcase everything new in the latest version of Splunk including the latest data models, alert actions, XML forms, various dashboard enhancements, and visualization options (with D3). Finally, we take a look at the latest Splunk cloud applications, advanced integrations, and development as per the latest release. Style and approach This book is an easy-to-follow guide with lots of tips and tricks to help you master all the concepts necessary to develop and deploy your Splunk applications.
Splunk Essentials - Second Edition
by Betsy Page Sigman Erickson DelgadoA fast-paced and practical guide to demystifying big data and transforming it into operational intelligence About This Book * Want to get started with Splunk to analyze and visualize machine data? Open this book and step into the world of Splunk. * Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business * This easy-to-follow, practical book can be used by anyone, even if you have never managed any data before Who This Book Is For This book will be perfect for you if you are a Software engineer or developer or System administrators or Business analyst who seek to correlate machine data with business metrics and provide intuitive real-time and statistical visualizations. Some knowledge or experience of previous versions of Splunk will be helpful but not essential. What You Will Learn * Install and configure Splunk * Gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields * Be comfortable with the Search Processing Language and get to know the best practices in writing search queries * Create stunning and powerful dashboards * Be proactive by implementing alerts and scheduled reports * Use the Splunk SDK and integrate Splunk data into other applications * Implement the best practices in using Splunk. In Detail Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You'll start with very basics of Splunk-- installing Splunk--and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you'll be provided with some real-world best practices in using Splunk. Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions.
Splunk Operational Intelligence Cookbook - Second Edition
by Josh Diakun Derek Mock Paul R JohnsonOver 70 practical recipes to gain operational data intelligence with Splunk Enterprise About This Book * This is the most up-to-date book on Splunk 6.3 and teaches you how to tackle real-world operational intelligence scenarios efficiently * Get business insights using machine data using this easy-to-follow guide * Search, monitor, and analyze your operational data skillfully using this recipe-based, practical guide Who This Book Is For This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of business, IT, security, product, marketing, and many more! Also, existing users of Splunk who want to upgrade and get up and running with Splunk 6.3 will find this book invaluable. What You Will Learn * Use Splunk to gather, analyze, and report on data * Create dashboards and visualizations that make data meaningful * Build an operational intelligence application with extensive features and functionality * Enrich operational data with lookups and workflows * Model and accelerate data and perform pivot-based reporting * Build real-time, scripted, and other intelligence-driven alerts * Summarize data for longer term trending, reporting, and analysis * Integrate advanced JavaScript charts and leverage Splunk's API In Detail Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk's features, not only will you find quick solutions to common problems, but you'll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You'll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You'll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you'll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you're taking advantage of it. Style and approach Splunk is an excellent platform that allows you to make sense of machine data with ease. The adoption of Splunk has been huge and everyone who has gone beyond installing Splunk wants to know how to make most of it. This book will not only teach you how to use Splunk in real-world scenarios to get business insights, but will also get existing Splunk users up to date with the latest Splunk 6.3 release.
Spock: Writing Expressive Tests in Java and Groovy
by Rob FletcherMost developers would agree that writing automated tests is a good idea, but writing good, well-structured tests is still an elusive skill for many. For Java and Groovy developers, however, there’s good news. This practical guide shows you how to write concise and highly readable tests with Spock, the most innovative testing and specification framework for the JVM since JUnit.Author Rob Fletcher takes you from Spock basics to advanced topics, using fully worked integration examples. Through the course of this book, you’ll build a simple web application—Squawker—that allows users to post short messages. You’ll discover how much easier it is to write automated tests with Spock’s straightforward and expressive language.Start by learning how to write simple unit testsUnderstand the lifecycle of Spock specifications and feature methodsDive into interaction testing, using Spock’s intuitive syntax for dealing with mocks and stubsLearn about parameterized tests—writing feature methods that run for multiple sets of dataMove into advanced topics, such as writing idiomatic Spock code and driving parameterized tests with file or database inputLearn how everything works together in a standalone, fully-worked, test-driven development example
Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency (Data Analytics Applications)
by C. Harrison Scott BuksteinDeveloping and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group. The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in: Ticket pricing Season ticket member retention Fan engagement Sponsorship valuation Customer relationship management Digital marketing Market research Data visualization. This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations. Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.
Sports Research with Analytical Solution using SPSS
by J. P. VermaA step-by-step approach to problem-solving techniques using SPSS® in the fields of sports science and physical education Featuring a clear and accessible approach to the methods, processes, and statistical techniques used in sports science and physical education, Sports Research with Analytical Solution using SPSS® emphasizes how to conduct and interpret a range of statistical analysis using SPSS. The book also addresses issues faced by research scholars in these fields by providing analytical solutions to various research problems without reliance on mathematical rigor. Logically arranged to cover both fundamental and advanced concepts, the book presents standard univariate and complex multivariate statistical techniques used in sports research such as multiple regression analysis, discriminant analysis, cluster analysis, and factor analysis. The author focuses on the treatment of various parametric and nonparametric statistical tests, which are shown through the techniques and interpretations of the SPSS outputs that are generated for each analysis. Sports Research with Analytical Solution using SPSS® also features: Numerous examples and case studies to provide readers with practical applications of the analytical concepts and techniques Plentiful screen shots throughout to help demonstrate the implementation of SPSS outputs Illustrative studies with simulated realistic data to clarify the analytical techniques covered End-of-chapter short answer questions, multiple choice questions, assignments, and practice exercises to help build a better understanding of the presented concepts A companion website with associated SPSS data files and PowerPoint® presentations for each chapter Sports Research with Analytical Solution using SPSS® is an excellent textbook for upper-undergraduate, graduate, and PhD-level courses in research methods, kinesiology, sports science, medicine, nutrition, health education, and physical education. The book is also an ideal reference for researchers and professionals in the fields of sports research, sports science, physical education, and social sciences, as well as anyone interested in learning SPSS.
Sports Science Research and Technology Support: Third International Congress, icSPORTS 2015, Lisbon, Portugal, November 15-17, 2015, Revised Selected Papers (Communications in Computer and Information Science #632)
by Jan Cabri and Pedro Pezarat CorreiaThis book contains extended and revised versions of selected papers from the Third International Congress on Sports Science Research and Technology Support, icSPORTS 2015, held in Lisbon, Portugal, in 2015.The 9 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from originally 93 submissions. The papers cover topics in the following main areas: signal processing and motor behavior; sports medicine and support technology; health, sports performance and support technology; and computer systems in sports.
Spring Boot in Action
by Craig WallsSummaryA developer-focused guide to writing applications using Spring Boot. You'll learn how to bypass the tedious configuration steps so that you can concentrate on your application's behavior.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyThe Spring Framework simplifies enterprise Java development, but it does require lots of tedious configuration work. Spring Boot radically streamlines spinning up a Spring application. You get automatic configuration and a model with established conventions for build-time and runtime dependencies. You also get a handy command-line interface you can use to write scripts in Groovy. Developers who use Spring Boot often say that they can't imagine going back to hand configuring their applications.About the BookSpring Boot in Action is a developer-focused guide to writing applications using Spring Boot. In it, you'll learn how to bypass configuration steps so you can focus on your application's behavior. Spring expert Craig Walls uses interesting and practical examples to teach you both how to use the default settings effectively and how to override and customize Spring Boot for your unique environment. Along the way, you'll pick up insights from Craig's years of Spring development experience.What's InsideDevelop Spring apps more efficientlyMinimal to no configurationRuntime metrics with the ActuatorCovers Spring Boot 1.3About the ReaderWritten for readers familiar with the Spring Framework.About the AuthorCraig Walls is a software developer, author of the popular book Spring in Action, Fourth Edition, and a frequent speaker at conferences.Table of ContentsBootstarting SpringDeveloping your first Spring Boot applicationCustomizing configurationTesting with Spring BootGetting Groovy with the Spring Boot CLIApplying Grails in Spring BootTaking a peek inside with the ActuatorDeploying Spring Boot applicationsAPPENDIXESSpring Boot developer toolsSpring Boot startersConfiguration propertiesSpring Boot dependencies
Spring Essentials
by Hamidreza Sattari Shameer KunjumohamedBuild mission-critical enterprise applications using Spring Framework and Aspect Oriented Programming About This Book * Step into more advanced features of aspect-oriented programming and API components to build enterprise grade systems * Build lightning-fast web applications and REST APIs using Spring MVC and its asynchronous processing capabilities with the view technologies of your choice * Explore simplified but powerful data access techniques including JPA (Java Persistence Architecture) repositories and NoSQL data access Who This Book Is For If you are a Java developer who is looking to master Enterprise Java Development using Spring Framework, then this book is ideal for you. Prior understanding of core Java programming and a high-level understanding of Spring Framework is recommended. Having sound knowledge of servlet-based web development in Java and basic Database concepts would be an advantage but not a requirement. What You Will Learn * Set up and build standalone and web-based projects using Spring Framework with Maven or Gradle * Get familiar with JSP Form processing using Spring and Form Tag Library * Develop RESTful API applications for XML and JSON data transfers with non-blocking asynchronous capabilities * Explore Spring's comprehensive transaction support for declarative Transaction Management and its integration with Spring's data access abstractions * Investigate Spring Data access mechanisms with Spring Data Repositories, a simple and consistent data-access abstraction * Construct real-time applications using WebSocket with a SockJS fallback option * Understand how to secure your Spring Web and standalone applications using Spring Security declaratively and consistently * Get to grips with the end-to-end development of an API-based modern SPA using EmberJS at the front end and SpringMVC at the back end In Detail Spring is an open source Java application development framework to build and deploy systems and applications that run on the JVM. It is the industry standard and the most popular framework among Java developers with over two-thirds of developers using it. Spring Essentials makes learning Spring so much quicker and easier with the help of illustrations and practical examples. Starting from the core concepts of features such as inversion of Control Container and BeanFactory, we move on to a detailed look at aspect-oriented programming. We cover the breadth and depth of Spring MVC, the WebSocket technology, Spring Data, and Spring Security with various authentication and authorization mechanisms. Packed with real-world examples, you'll get an insight into utilizing the power of Spring Expression Language in your applications for higher maintainability. You'll also develop full-duplex real-time communication channels using WebSocket and integrate Spring with web technologies such as JSF, Struts 2, and Tapestry. At the tail end, you will build a modern SPA using EmberJS at the front end and a Spring MVC-based API at the back end.By the end of the book, you will be able to develop your own dull-fledged applications with Spring. Style and approach This book is a practical guide based on logical modules of the whole Spring Framework family, with a start-small approach, increasing in complexity as it progresses. Every chapter is an amalgamation of theory and practical examples, with further discussion on additional features and approaches.
Spring Microservices
by Rajesh RvIf you are a Spring developers and want to build cloud-ready, internet-scale applications to meet modern business demands, then this book is for you Developers will understand how to build simple Restful services and organically grow them to truly enterprise grade microservices ecosystems.