Big Data

期刊简介：Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.Big Data coverage includes:Big data industry standards,New technologies being developed specifically for big data,Data acquisition, cleaning, distribution, and best practices,Data protection, privacy, and policy,Business interests from research to product,The changing role of business intelligence,Visualization and design principles of big data infrastructures,Physical interfaces and robotics,Social networking advantages for Facebook, Twitter, Amazon, Google, etc,Opportunities around big data and how companies can harness it to their advantage.

【译文】大数据是领先的同行评审期刊，涵盖了收集、分析和传播大量数据所面临的挑战和机遇。该期刊针对这一强大且不断发展的数据科学领域的问题进行探讨，并促进研究人员、商业经理、分析师、开发者、数据科学家、物理学家、统计学家、基础设施开发者、学者和政策制定者改善其业务和机构内的运营、盈利和沟通。涵盖广泛学科，专注于新颖的大数据技术、政策和创新，该期刊汇集社区共同应对当前挑战，并实施有效的组织、存储、传播、保护、操作和，最重要的是，找到最有效的策略，让这惊人的信息量造福社会、行业、学术界和政府。大数据覆盖内容包括：大数据行业标准、专门为大数据开发的新技术、数据采集、清理、分配和最佳实践、数据保护、隐私和政策、从研究到产品的商业利益、商业智能角色的变化、大数据基础设施的可视化和设计原则、物理接口和机器人、社交网络（如Facebook、Twitter、Amazon、Google等）的优势，以及大数据带来的机遇以及公司如何利用这些机遇。