Author: James Warren Publisher: Simon and Schuster ISBN: 1638351104 Category : Computers Languages : en Pages : 481
Book Description
Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth
Author: Susan Zwerman Publisher: CRC Press ISBN: 1136136223 Category : Art Languages : en Pages : 1138
Book Description
Wisdom from the best and the brightest in the industry, this visual effects bible belongs on the shelf of anyone working in or aspiring to work in VFX. The book covers techniques and solutions all VFX artists/producers/supervisors need to know, from breaking down a script and initial bidding, to digital character creation and compositing of both live-action and CG elements. In-depth lessons on stereoscopic moviemaking, color management and digital intermediates are included, as well as chapters on interactive games and full animation authored by artists from EA and Dreamworks respectively. From predproduction to acquisition to postproduction, every aspect of the VFX production workflow is given prominent coverage. VFX legends such as John Knoll, Mike Fink, and John Erland provide you with invaluable insight and lessons from the set, equipping you with everything you need to know about the entire visual effects workflow. Simply a must-have book for anyone working in or wanting to work in the VFX industry.
Author: Kristoffer Bjärkefur Publisher: World Bank Publications ISBN: 1464816956 Category : Business & Economics Languages : en Pages : 388
Book Description
Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Author: Jeffrey Okun, VES Publisher: Routledge ISBN: 1351009397 Category : Art Languages : en Pages : 909
Book Description
The award-winning VES Handbook of Visual Effects remains the most complete guide to visual effects techniques and best practices available today. This new edition has been updated to include the latest, industry-standard techniques, technologies, and workflows for the ever-evolving fast paced world of visual effects. The Visual Effects Society (VES) tasked the original authors to update their areas of expertise, such as AR/VR Moviemaking, Color Management, Cameras, VFX Editorial, Stereoscopic and the Digital Intermediate, as well as provide detailed chapters on interactive games and full animation. Additionally, 56 contributors share their best methods, tips, tricks, and shortcuts developed through decades of trial and error and real-world, hands-on experience. This third edition has been expanded to feature lessons on 2.5D/3D Compositing; 3D Scanning; Digital Cinematography; Editorial Workflow in Animated and Visual Effects Features; Gaming updates; General Geometry Instancing; Lens Mapping for VFX; Native Stereo; Real-Time VFX and Camera Tracking; Shot/Element Pulls and Delivery to VFX; Techvis; VFX Elements and Stereo; Virtual Production; and VR/AR (Virtual Reality / Augmented Reality). A must-have for anyone working in or aspiring to work in visual effects, The VES Handbook of Visual Effects, Third Edition covers essential techniques and solutions for all VFX artists, producers, and supervisors, from pre-production to digital character creation, compositing of both live-action and CG elements, photorealistic techniques, and much more. With subjects and techniques clearly and definitively presented in beautiful four-color, this handbook is a vital resource for any serious VFX artist.
Author: M. G. Rodd Publisher: Elsevier ISBN: 1483146898 Category : Technology & Engineering Languages : en Pages : 159
Book Description
Artificial Intelligence in Real-Time Control documents the proceedings of the IFAC Workshop held in Clyne Castle, Swansea, UK, 21-23 September 1988. It includes two keynote addresses that discussed architectural issues for expert systems in real-time control; the problem of representing knowledge and reasoning; and the problems encountered in obtaining such information. Other papers contained in these proceedings are representative of the major research bodies active throughout the world in the application of AI techniques in real-time control, although it was inevitable that a Europe-based conference would highlight the work of the European groups. While AI is clearly still in the process of establishing itself, it is undoubtedly a major new area of engineering endeavor. Practical experience is still relatively limited, and many of the results discussed at this event were obtained through simulation or, in a few cases, from reduced practical experience. The importance, though, lies in the fact that many countries are pouring extensive resources into the attempt to control difficult processes by using AI techniques. The wide cross section of interest was demonstrated by the fact that many diverse industries were represented at the workshop—ranging from power-systems control to telecommunications, and into the steel industry.
Author: Wang, John Publisher: IGI Global ISBN: 1799892212 Category : Computers Languages : en Pages : 3296
Book Description
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Author: Bob Familiar Publisher: Apress ISBN: 148422650X Category : Computers Languages : en Pages : 541
Book Description
Learn how today’s businesses can transform themselves by leveraging real-time data and advanced machine learning analytics. This book provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions. In addition, Business in Real-Time Using Azure IoT and Cortana Intelligence Suite offers patterns and practices for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device. Whether you're working in Health & Life Sciences, Manufacturing, Retail, Smart Cities and Buildings or Process Control, there exists a common platform from which you can create your targeted vertical solutions. Business in Real-Time Using Azure IoT and Cortana Intelligence Suite uses a reference architecture as a road map. Building on Azure’s PaaS services, you'll see how a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario. What You'll Learn: Automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services Implement smart devices using Node.JS and C# Use Azure Streaming Analytics to ingest millions of events Provide both "Hot" and "Cold" path outputs for real-time alerts, data transformations, and aggregation analytics Implement batch processing using Azure Data Factory Create a new form of Actionable Intelligence (AI) to drive mission critical business processes Provide rich Data Visualizations across a wide variety of mobile and web devices Who This Book is For: Solution Architects, Software Developers, Data Architects, Data Scientists, and CIO/CTA Technical Leadership Professionals
Author: Shreelata Rao Seshadri Publisher: Springer ISBN: 9811034702 Category : Medical Languages : en Pages : 182
Book Description
This book highlights the reality of malnutrition among school-age children in India and relates it with dietary adequacy, diversity and choice. Using empirical data from field research conducted in Karnataka, India, it documents the nutritional status of school-going children, and examines the socio-economic determinants. It provides insights into changing dietary patterns by analysing case studies from households and schools; and documents the impact of changing dietary choices on the daily nutritional intake of young children. As the issue of nutrition for school-age children is one that is largely neglected in the literature, the book fills an important gap. The book also investigates the policy framework for addressing the nutritional needs of school-going children, and assesses the available government-sponsored interventions in terms of their efficiency and effectiveness, measured by their impact on the nutritional indices of the target group. It offers concrete recommendations for changing the nutritional intake of school-going children. Navigating through the socio-cultural causes for changing food choice and their impact on children’s nutritional outcomes, this book shows a viable path to addressing malnutrition, taking into account both macro-level policy constraints and the micro-level perspectives of families, schools and communities.
Author: Vincent Lemaire Publisher: Springer Nature ISBN: 3030390985 Category : Computers Languages : en Pages : 236
Book Description
This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.
Author: James Warren
Author: Susan Zwerman
Author: Kristoffer Bjärkefur
Author: Jeffrey Okun, VES
Author: M. G. Rodd
Author: Wang, John
Author: Bob Familiar
Author: Shreelata Rao Seshadri
Author: 
Author: Vincent Lemaire