“…Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. …”

Tabla de Contenidos: “…Tecnologías emergentes -- 2. Big data y salud digital -- 3. Inteligencia artificial y salud digital -- 4. …”

“…We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale. …”

Tabla de Contenidos: “…-- The big data landscape -- Message queuing systems -- Data warehousing -- MongoDB as a data warehouse -- Big data use case with servers on-premises -- Setting up Kafka -- Setting up Hadoop -- Using a Hadoop-to-MongoDB pipeline -- Setting up a Spark connection to MongoDB -- MongoDB Atlas Data Lake -- Summary -- Further reading -- Part 4 - Scaling and High Availability -- Chapter 13: Mastering Replication -- Technical requirements -- Replication -- Logical or physical replication -- Different high availability types -- An architectural overview -- How do elections work? …”

Tabla de Contenidos: “…Front Cover -- Intelligent Sensing and Communications for Internet of Everything -- Copyright -- Contents -- 1 Background and introduction -- 1.1 Background -- 1.2 Introduction -- 1.2.1 Progress of 6G around the world -- 1.2.2 6G vision and its performance indicators -- 1.2.3 Potential key technologies of 6G -- 1.2.3.1 Three major operating scenarios of 5G eMBB, mMTC, and URLLC -- 1.2.3.2 Backscatter technology and Intelligent Reflecting Surface technology in the Internet of Things -- 1.2.3.3 Unmanned aerial vehicle technology in IoE -- 1.2.3.4 mmWave technology and Terahertz technology IoT communications -- 1.2.3.5 Artificial intelligence technology in the Internet of Things -- 1.2.3.6 Fog/edge computing technology and big data system with IoT -- 1.3 Suggestions to promote 6G research and development -- 2 Three major operating scenarios of 5G: eMBB, mMTC, URLLC -- 2.1 Introduction -- 2.1.1 The comprehensive introduction for eMBB -- 2.1.2 The comprehensive introduction for mMTC -- 2.1.3 The comprehensive introduction for URLLC -- 2.1.3.1 The key technology of URLLC -- 2.1.3.2 Performance metrics for URLLC -- 2.1.3.3 Shortcomings of URLLC -- 2.2 Opportunistic spectrum sharing for D2D-based URLLC -- 2.2.1 System model -- 2.2.1.1 Problem formulation -- 2.2.2 Optimal resource allocation -- 2.2.2.1 Scheme 1 -- 2.3 Cooperative wireless-powered NOMA relaying for B5G IoT networks with hardware impairments and channel estimation errors -- 2.3.1 System model -- 2.3.1.1 Energy harvesting -- 2.3.1.2 Information transmission -- 2.3.2 Performance analysis -- 2.3.3 Exact outage probability -- 2.3.4 Asymptotic OP -- 2.3.4.1 OP of Df -- 2.3.4.2 Diversity order -- 2.3.4.3 Diversity order of Df -- 2.3.4.4 Diversity order of Dn -- 2.3.5 Energy efficiency (EE) -- 2.3.6 Power optimization for the sum rate -- 2.3.7 Performance evaluation results and discussion…”

“…Nuevos conceptos, como OTT, VoD, televisión conectada, Peak TV, Binge-Watching, Big Data, audiencia social o las nuevas métricas de audiencia integrada, toman relevancia y se convierten en protagonistas del cambio. …”

“…Se abordan en la misma, entre otros, temas tales como los problemas laborales que plantea la "on-demand economy"; los efectos de la cada vez menos utópica idea de la empresa panóptica; el impacto de las redes sociales sobre una sociedad en la que los propios individuos se hacen transparentes; la creciente importancia de las técnicas del Big Data y la necesidad de poner límites al tsunami que supone; el irrefrenable desarrollo de la robótica o, en fin, los avances de los últimos años en el campo de la Inteligencia Artificial. …”
>Acceso al texto completo en Biblioteca Virtual Tirant

“…Con ejemplos prácticos y consejos expertos, este libro es la brújula indispensable para aquellos que buscan dominar la magia de la comunicación coninteligencia artificial.El uso de ChatGPT en marketing, ventas, inversión, big data son algunas de las temáticas que desarrolladas en esta obra con la que conseguirás a aprovechar al máximo las capacidades de ChatGPT.Además, desde la web del libro podrás descargar todos los hiperenlaces, los Plugin, los Prompt así como el código que contiene el libro…”

“…This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. …”

“…Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage. You've heard the hype around data--now get the facts. …”

“…Digitization and technologies such as AI, robotic process automation, extended reality, cloud computing, big data, blockchains, etc. are automating, augmenting and adding jobs. …”

“…This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. …”

Tabla de Contenidos: “…Machine generated contents note: Preface Chapter 1 Introduction: Economists as Innovators Organization of the Book My Personal Interest (and Bias) Chapter 2 An Easy Introduction to Economics Rationality Markets Market Failures The "Macro"/"Micro" Distinction Economic Growth in the Short and Long Runs The Equity-Efficiency Tradeoff Innovation and Growth: The Role of Economists The Bottom Line Part I The Power of Economic Ideas: Direct Use in Business Chapter 3 The Price is Right The "Bloomberg Way" of Pricing Auctions Airline Seats Google and On-Line Ads Other Uses of Auction-Based Pricing Conditional Offer of Purchase (Name Your Price): Priceline Different Prices for Different Folks The Bottom Line Chapter 4 Minimizing Costs Optimization Learning by Doing The Bottom Line Chapter 5 Beyond Moneyball A Brief Guide to Regression Analysis The Business of Forecasting The Business of Economic Consulting Data Analytics and "Big Data" Econometrics and Sports: Money Ball Regulatory Money Ball The Bottom Line Chapter 6 Experiments in Economics and Business Economics in the Lab: Vernon Smith and "Experimental Economics" "Lab" Experiments in Business: Focus Groups Economic Experiments in the Field: Randomized Controlled Trials Business Experimentation in the Field Innovation and Entrepreneurship: Experimentation as the Foundation of Growth The Bottom Line Chapter 7 Matchmaker, Matchmaker A Gentle Introduction to Market Design and Matching Theory Matchmaking in the Labor Market Matchmaking and Online Dating The Bottom Line Chapter 8 Economists and Mostly Good Financial Engineering Not Putting Your Eggs in One Basket: The Rise of Index Investing Efficient Markets and Their Implications Behavioral Finance Valuing Options: Upsides and Downsides The Bottom Line Part II Economist-Inspired Policy Platforms for Private Business Chapter 9 Planes, Trains and... …”

“…Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. • Select the right Google service from the various choices based on the application to be built • Compute with Cloud VMs and managing VMs • Plan and deploying storage • Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. …”

“…The third section discusses databases and big data, covering the communication between R and various databases, as well as R's integration with Hadoop. …”

“…Such infeasible systems of inequalities represent an important special subclass of infeasible systems of constraints with a monotonicity property - systems whose multi-indices of feasible subsystems form abstract simplicial complexes (independence systems), which are fundamental objects of combinatorial topology.The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions and excellent solutions. …”

“…However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. …”

“…Tim O'Reilly's genius is to identify and explain emerging technologies with world shaking potential—the World Wide Web, Open Source Software, Web 2.0, Open Government data, the Maker Movement, Big Data. "The man who can really can make a whole industry happen," according to Executive Chairman of Google Eric Schmidt, O'Reilly has most recently focused on the future of work—AI, algorithms, and new approaches to business organization that will shape our lives. …”

“…While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. …”