“…Estas páginas proponen una alternativa atractiva, la deliberación como práctica escolar, ya experimentada sobre el terreno, que ofrece a los docentes una metodología que permite proyectar «prácticas deliberativas» en el grupo-clase sobre temas y asuntos de candente actualidad como: el aborto, la eutanasia, la diversidad, la ecología, la justicia, la democracia, los Derechos Humanos, la neuroética, el big-data o la inteligencia artificial, entre otros. …”

“…In this course, which is targeted at advanced level database professionals, big data expert Rohit Jain explores the concept that comes closest to meeting the test: Hybrid transactional/analytical processing or HTAP. …”

“…A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. …”

“…NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. …”

“…To take advantage of artificial intelligence (AI)-enhanced applications, real-time big data analytics, and cloud architectures that require higher levels of system performance and storage capacity, enterprises around the globe are rapidly moving to modernize established IT infrastructures. …”

“…Cyber Warfare - Truth, Tactics, and Strategies takes you on a journey through the myriad of cyber attacks and threats that are present in a world powered by AI, big data, autonomous vehicles, drones video, and social media. …”

“…Ask vital questions before you dive into data Are your big data and analytics capabilities up to par? Nearly half of the global company executives in a recent Forbes Insight/Teradata survey certainly don’t think theirs are. …”

“…Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why de…”

“…With the recent surge in interest in data analytics and big data, it has seen a renewed level of interest as the ability of a business to find the valuable data..…”

“…Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. …”

“…Start working on Cascading example projects right away Model and analyze unstructured data in any format, from any source Build and test applications with familiar constructs and reusable components Work with the Scalding and Cascalog Domain-Specific Languages Easily deploy applications to Hadoop, regardless of cluster location or data size Build workflows that integrate several big data frameworks and processes Explore common use cases for Cascading, including features and tools that support them Examine a case study that uses a dataset from the Open Data Initiative…”

“…Author Peter Morgan, CEO of Data Science Partnership, takes you through three primary requirements for machine learning: sophisticated learning algorithms, dedicated hardware, and large datasets. Companies with big data strategies have already satisfied one condition, but any organization can jump into machine learning through a variety of open source and proprietary solutions. …”

“…Become a Professional Cloud Architect by exploring essential concepts, tools, and services in GCP and working through tests designed to help you get certified Key Features Plan and design a robust GCP cloud solution architecture Ensure the security and reliability of your cloud solutions and operations Test yourself by taking mock tests with up-to-date exam questions Book Description Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. …”

“…The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. …”

“…Cloud platforms are changing big data processing for the better, but there’s one significant challenge: the problem of managing costs. …”

“…He is also the sole author of Hadoop 2 Quick Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem . …”

“…It was Murat Erder's (Deutsche Bank) thought-provoking answer to how software architects should approach data in the age of Agile, big data, and the cloud. It was Clarence Bakirtzidis' (Elabor8) illuminating tutorial on creating Docker-based production environments. …”

“…With all of the recent emphasis on "big data," analytics and visualization, and emerging technology architectures such as smartphone networks, social media, and cloud computing, the way we do business is undergoing rapid change. …”

“…Youll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle todays big data challenges. Throughout, the authors focus on real-world examples, communicate key ideas with intuitive, interactive visualizations, and limit complexity and math to what you need to improve performance. …”

“…With the rapid development and drastic change of the world economy, "Digital Finance", "Internet Finance", "Science and Technology Finance" have become new hotspots, which also represent the future trend of economy development in the era of big data. Enterprises are facing more uncertainty, opportunities coexist with challenges. …”