“…The chapters consider such topics as the use of information technology in refugee status determination; ethical and legal issues surrounding biometric technologies; information technology within organizational hierarchies; the use of technology by refugees; access issues in refugee camps; the scalability and sustainability of information technology innovations in humanitarian work; geographic information systems and spatial thinking; and the use of “big data” analytic techniques. Finally, the book identifies policy research directions, develops a unified research agenda, and offers practical suggestions for conducting displacement research -- Contracubierta…”

“…About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. …”

“…It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science…”

“…This paper is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT specialists) who are responsible for delivering cost-effective cloud services and big data solutions. The content of this paper can help you to uncover insights among client's data so that you can take appropriate actions to optimize business results, product development, and scientific discoveries…”

“…Understand why Spark is difficult to debug, the types of Spark failures, and how to recognize them Explore the differences between debugging single node and distributed systems Learn the best debugging techniques for Spark and a framework for debugging Holden Karau is an open source developer advocate at Google focusing on Apache Spark, Beam, and related big data tools. She is an in-demand speaker at O'Reilly Media's Strata + Hadoop conferences, a committer on the Apache Spark, SystemML, and Mahout projects, and the author of multiple O'Reilly titles including High Performance Spark and Learning Spark . …”

“…What you'll learn: An overview of the field of machine learning Commercial and open source packages in MATLAB How to use MATLAB for programming and building machine learning applications MATLAB graphics for machine learning Practical real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers and engineering students wanting a comprehensive and practical introduction to machine learning…”

“…Through several detailed use cases, this ebook explains how multi-model databases enable you to: Store and manage multiple heterogeneous data sources Consolidate your data by bringing everything in "as is" Invisibly extend model features from one model to another Take a hybrid approach to analytical and operational data Enhance user search experience, including big data search Conduct queries across data models Offer SQL without relational constraints…”

“…By using this concept and focusing on real-world problems exemplified by sports data sets and statistics, this book seeks to help you take advantage of the hash object productively, in particular, but not limited to, the following tasks: select proper hash tools to perform hash table operations use proper hash table operations to support specific data management tasks use the dynamic, run-time nature of hash object programming understand the algorithmic principles behind hash table data look-up, retrieval, and aggregation learn how to perform data aggregation, for which the hash object is exceptionally well suited manage the hash table memory footprint, especially when processing big data use hash object techniques for other data processing tasks, such as filtering, combining, splitting, sorting, and unduplicating. …”

“…Learn the impact of trends driving embedded analytics Review examples of big data applications and their analytics requirements in retail, direct service, cybersecurity, the Internet of Things, and logistics Explore requirements for embedding visual analytics in modern data environments, including collection, storage, retrieval, data models, speed, microservices, parallelism, and interactivity Take a deep dive into the characteristics of effective visual analytics and criteria for evaluating modern embedded analytics tools Use a self-assessment rating chart to determine the value of your organization’s BI in the modern data setting…”

“…This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for delivering cost effective cloud services and big data solutions on IBM Power SystemsTM helping to uncover insights among clients' data so they can take actions to optimize business results, product development, and scientific discoveries…”

“…Understand SAP terminology, concepts, and solutions Install SAP on premises or in the cloud Master SAP’s revamped user interface Discover how and when to use in-memory HANA databases Integrate SAP Software as a Service (SaaS) solutions such as Ariba, Successfactors, Fieldglass, and hybris Find resources at SAP’s Service Marketplace, Developer Network, and Help Portal Avoid pitfalls in SAP project implementation, migration, and upgrades Discover how SAP fits with mobile devices, social media, big data, and the Internet of Things Start or accelerate your career working with SAP technologies…”

“…These challenges are reflected in research topics such as multimodal and mixed media search, automatic content analysis, multimedia linking and recommendation, and big data analysis and visualization, where scientific bottlenecks may be exacerbated by the time dimension, which also provides topics of interest such as multimodal time series analysis…”

“…To wydanie zostało uzupełnione omówieniem funkcji analitycznych, strategii pracy z ogromnymi bazami danych oraz zagadnień związanych z big data. W każdym rozdziale zaprezentowano kluczowe koncepcje SQL, które dodatkowo wyjaśniono na podstawie wielu dokładnie omówionych przykładów. …”

“…Steve teaches courses on server and cloud engineering, systems design, LAMP stack programming, big data, and more. Prior to joining the faculty, Steve spent 20 years in the industry as a technical architect, systems engineer, and network administrator…”

“…Comprehensive coverage includes: Basic information assurance principles and concepts Information assurance management system Current practices, regulations, and plans Impact of organizational structure Asset management Risk management and mitigation Human resource assurance Advantages of certification, accreditation, and assurance Information assurance in system development and acquisition Physical and environmental security controls Information assurance awareness, training, and education Access control Information security monitoring tools and methods Information assurance measurements and metrics Incident handling and computer forensics Business continuity management Backup and restoration Cloud computing and outsourcing strategies Information assurance big data concerns…”

“…This includes learning how to edit/open video files and how to create your own movie, all with Python scripts. Today's big data and computational scientists, financial analysts/engineers and web developers – like you - will find this updated book very relevant…”

“…By the final page, you'll know exactly how to: Choose the data that matters most to your decision-makers Speak to different stakeholder audience personality types (even the most challenging) Infuse your data presentation with a persuasive narrative storyline Craft strategic recommendations that get approved and implemented Design simple, stunning slides that communicate without confusing Transmit your data story with best-practice data visualization techniques Avoid the most common data visualization violations and charting pitfalls Prepare for and deliver your presentation like a professional speaker Navigate challenging meeting conversations and logistics with easeWhether you work with little or big data, this book will show you how to prevent presentation zombies and inspire the action and credibility you and your organization deserve…”

“…Igo’s sweeping history, from the era of “instantaneous photography” to the age of big data, uncovers the surprising ways that debates over what should be kept out of the public eye have shaped U.S. politics and society. …”

“…Nos indican cómo poner en marcha estrategias 360o complementándolas con inteligencia artificial para mejorar la productividad del marketing, o el big data para adaptarnos mejor a las necesidades del cliente. …”

“…You’ll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you’ll have a conceptual foundation as well as the practical skills to explore your own data with confidence. …”