The emergence of data engineering along with the support of Online Social Networks is growing by millions every day due to the introduction of wireless systems and Internet of Things. The rapid growth of usage of smart devices helps to create new generation knowledge sharing platforms. Data Analytics has a major role to play in the growth and success of wireless and IoT applications. The growth of data has become exponential and is difficult to analyze. Many researchers depend on the data available on Wireless Systems and IoT for developing new generation services and applications. With the opportunity of information and communication technologies like heterogeneous networking, cloud computing, web services, crowd sensing and data mining, ubiquitous and asynchronous information sharing is feasible. But this also brings out a lot of provocations with respect to conflicting standards, data portability, data aggregation, data distribution, differential context and communication overhead. The smart information and communication technology has changed many features of human lifestyle: personal and work places.

中文翻译：

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无线系统中的数据分析和物联网问题与挑战

由于引入了无线系统和物联网，数据工程的出现以及在线社交网络的支持每天都在增长数百万。智能设备使用量的快速增长有助于创建新一代知识共享平台。数据分析在无线和物联网应用的增长和成功中起着重要作用。数据的增长已成指数增长，并且难以分析。许多研究人员依靠无线系统和物联网上可用的数据来开发新一代服务和应用程序。借助异构网络，云计算，Web服务，人群感知和数据挖掘等信息和通信技术的机会，无处不在和异步信息共享是可行的。但是，这在标准冲突，数据可移植性，数据聚合，数据分发，差异上下文和通信开销方面也引起了很多挑衅。智能信息和通信技术已经改变了人类生活方式的许多特征：个人和工作场所。