“…Learn why BI is a boon to providers Create powerful infographics to communicate data more effectively Find out how Big Data has transformed other industries, and how it applies to healthcare Data-Driven Healthcare: How Analytics and BI are Transforming the Industry provides tables, checklists, and forms that allow you to take immediate action in implementing BI in your organization. …”

“…Comprehensive coverage includes Understanding what architecture design involves, and where it fits in the full software development life cycle Mastering core design concepts, principles, and processes Understanding how to perform the steps of the ADD method Scaling design and analysis up or down, including design for pre-sale processes or lightweight architecture reviews Recognizing and optimizing critical relationships between analysis and design Utilizing proven, reusable design primitives and adapting them to specific problems and contexts Solving design problems in new domains, such as cloud, mobile, or big data…”

“…Scala is cool because it’s all the rage for big data applications, and because it manages to be more sophisticated and elegant than Java. …”

“…Sommes-nous condamnés à l'autodestruction de cette société de libertés que nous avons mis tant de siècles à constituer ? Big Data : le nouveau visage de Big Brother ? Denis Olivennes et Mathias Chichportich analysent cette marche forcée et inconsciente vers une société soumise aux injonctions souvent absurdes d'une prétendue modernité…”

“…Business models are changing in profound ways, and the impact reaches further than many expect; the democratization of banking is revolutionizing the wealth management industry toward more efficient and client-centric advisory processes, and keeping pace with these changes has become a survival skill for financial advisors around the world. Social media, big data analytics and digital technology are disrupting the banking industry, which many have taken for granted as set in stone. …”

“…His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry. …”

“…Java-compliant with functional programming properties, Scala's popularity is growing quickly—especially in the rapidly expanding areas of big data and cluster computing. This book explains everything professional programmers need to start using Scala quickly and effectively. …”

“…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. …”

“…You’ll also explore important container-aware application designs, including microservices, web, and Big Data examples with real-world use cases to put your learning into perspective. …”

“…In this book, you’ll learn: What microservices are and why are they’re a compelling architecture pattern for SaaS applications How to design, develop, and deploy microservices using Visual Studio, PowerShell, and Azure Microservice patterns for cross-cutting concerns and business capabilities Microservice patterns for Internet of Things and big data analytics solutions using IoT Hub, Event Hub, and Stream Analytics Techniques for automating microservice provisioning, building, and deployment What Service Fabric is and how it’s the future direction for microservices on Microsoft Azure…”

“…There's a plethora of content intended to help DataOps and DevOps teams reach production, but 90 percent of projects trained with big data fail to reach production because they lack governance. …”

“…A new chapter on Data Governance and Data Analytics reflects the increasing importance of 'Big Data' in today's business environment. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and software, the book also retains its valued textbook quality through clear learning objectives and online end of chapter discussion questions. …”

“…Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. …”

“…Audience This course is designed for software engineers and architects who are willing to design and develop big data engineering projects using Apache Spark. It is also designed for programmers and developers who are aspiring to grow and learn data engineering using Apache Spark. …”

“…Essential Architect Skills Visionary Skills Entrepreneurial Execution Technology Innovation Strategic Roadmapping Technology Skills Governance Platform Development Know-how Architectural Perspective Project Skills Estimation Partnership Discovery Management Conceptualization Dave Hendricksen is a big data architect for Thomson Reuters, where he works closely with the firm’s new product development teams to create innovative legal products for large-scale online platforms such as Westlaw.com. …”

“…Per tancar la bretxa, explorem formes específiques de selecció de clients de Big-Data i així mitigar les limitacions del crowdsourcing en el procés de co-creació. …”
Accés lliure

“…No obstant això, segueix existint una bretxa en la forma sistemàtica d'identificar aquests clients.Per tancar la bretxa, explorem formes específiques de selecció de clients de Big-Data i així mitigar les limitacions del crowdsourcing en el procés de co-creació. …”

“…Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. …”

“…Audience This course is designed for beginner ML and data science developers who need a solid foundation, for developers curious about data science and machine learning, for people looking to find out why probability is the foundation of all modern machine learning, or for developers who want to know how to harness the power of big data…”

“…Features: Provides advances in emerging methods and algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter Focuses on 3D urban modelling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery Demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results Presents methods and algorithms for monitoring, analyzing, and modeling urban growth, urban planning, and socio-economic developments In this book, readers are provided with valuable research studies and applications-oriented chapters in areas such as urban trees, soil moisture mapping, city transportation, urban remote sensing big data, etc…”