“…The leading discussions on this topic bring in diverse ideas such as that of data, the fantasy of Big Data, cloud computing, artificial intelligence, algorithmic processing, the flow of information and the outstanding successes of disinformation. …”

“…MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads. About the Book MongoDB in Action, Second Edition is a completely revised and updated version. …”

“…About the Technology Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. …”

“…Build world-class enterprise Business Intelligence solutions with MicroStrategy 10 About This Book Fix the gap between BI tools and implementation/integration processes with big data and predictive analytics using this comprehensive guide to MicroStrategy 10 Highly practical, example-rich guide that lets you implement business intelligence with MicroStrategy 10 in your organization Create the best user experience with BI dashboards using MicroStrategy using this up-to-date, comprehensive guide Who This Book Is For This book is intended for BI, DWH, ETL developers, BI/DWH/Analytics managers, analysts, and business users who already have MicroStrategy in their organization and want to take it to the next level in order to increase performance and improve user experience. …”

“…Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features About This Book Build functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided Leverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms Experiment with different techniques; evaluate their benefits and limitations using real-world financial applications Get to know the best practices to incorporate new Big Data machine learning in your data-driven enterprise and gain future scalability and maintainability Who This Book Is For This Learning Path is for engineers and scientists who are familiar with Scala and want to learn how to create, validate, and apply machine learning algorithms. …”

“…This is where data streaming comes in. As big data is no longer a niche topic, having the skillset to architect and develop robust data streaming pipelines is a must for all developers. …”

“…Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. …”

“…Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. …”

“…If you’ve begun to deploy large-scale data systems into production, or have at least explored the process, this practical ebook shows business team leaders, business analysts, and technical developers how to make your big data analytics, machine learning, and AI initiatives production ready. …”

“…Discover unique features and powerful capabilities of Scala Programming as you build projects in a wide range of domains Key Features Develop a range of Scala projects from web applications to big data analysis Leverage full power of modern web programming using Play Framework Build real-time data pipelines in Scala with a Bitcoin transaction analysis app Book Description Scala is a type-safe JVM language that incorporates object-oriented and functional programming (OOP and FP) aspects. …”

“…New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. …”

“…In trade magazines, this trend is called big data . As part of this trend, the following types of time-based information are collected: Large data centers support a corporation or provide cloud services. …”

“…Build recommendation engines with the various collaborative filtering algorithms Apply the ensemble methods to improve your predictions Work with big data technologies to handle data at scale In Detail Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. …”

“…Data Governance for Regulated Industries Amir Halfon (ScalingData) Examine best practices around the use of big data technologies as part of a regulated environment, including retention, provenance, privacy, and security for banking, healthcare, and other organizations. …”

“…If you’re an experienced developer looking to sharpen your architectural skills—particularly with regard to big data—this is one course you shouldn’t miss. Dive into the five main problems areas in distributed systems—storage, computation, messaging, timing, and consensus Understand key challenges that emerge in each of these areas as you move from single-processor to a distributed architecture Discover one or more common open-source products that address each problem area Tim Berglund is a full-stack generalist and passionate teacher who loves coding, presenting, and working with people. …”

“…On the Computational and Statistical Interface and "Big Data" Michael Jordan, Professor, UC Berkeley How does statistical decision theory provide a mathematical point of departure for achieving such a blending? …”

“…Storm allows you to scale with your data as it grows, making it an excellent platform to solve your big data problems. About the Book Storm Applied is an example-driven guide to processing and analyzing real-time data streams. …”

“…You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century. …”

“…Get a brief history of data reports, from 3800 BCE to the Univac and the IBM PC Move through paradigm shifts that include the rise of the Internet, interactivity, push & pull APIs, and 3D visualizations Take a peek at the future with the advent of the Internet of Things and continued growth of big data Learn the criteria that today’s reporting tools will have to satisfy Many large corporations still get 88% of the data they rely upon from reporting. …”

“…Completamente actualizado y ampliado, con un nuevo diseño rediseñado y más de sesenta recursos de audio para dar vida a extractos de idiomas, cubre todos los aspectos del idioma inglés, incluida la historia del inglés, con nuevas páginas sobre el vocabulario y la pronunciación de Shakespeare, estadísticas actualizadas sobre el uso del inglés que ahora cubre todos los países y el futuro del inglés en una Europa posterior al Brexit, variaciones regionales y sociales, con nuevos conocimientos sobre las crecientes identidades culturales de los 'nuevos ingleses', inglés en el uso cotidiano con nuevas secciones sobre identidades de género, análisis forense estudios y 'big data' en lingüística de corpus, desarrollos digitales, incluida la aparición de nuevas variedades en línea en plataformas de redes sociales como Facebook, Twitter y WhatsApp. …”