Big Data vs Semantic Web Essay Example | Topics and Well Written Essays - 2500 words

Big Data vs Semantic Web - Essay Example It should be noted that such estimation could not be achieved before the adoption of the Big Data Management. Additionally, it was also intended to increase transparency in the data being shared. In this case, any data that is not covered in the digital form will be captured in the Big Data (Heath & Bizer, 2011, p. 34). In other words, the big data management allows capturing of large amount of data in digital form. Finally, the big data management was intended to enable development of products and services of the new generation. The management and environment of the big data management surpasses the traditional data warehouse and relational databases platforms. This is because incorporates technologies that allows processing and storing data in nontransactional forms (Heath & Bizer, 2011, p. 49). The new technology of handling big data concentrates on the collection and analysis of big data that combines the use of the traditional data warehouse with logical data warehousing architectural systems. It is worth noting that the big data management must decide on what data to process. This determination is arrived at following a compliance reasons that determines what data to be stored and what data to be destroyed. Therefore, the technology requires a careful data classification that enables quicker and productive analysis of small data sets. A/B testing, integration, data fusion, machine learning, crowdsourcing, signal processing, natural language, simulation, genetic algorithm, visualization, and time series analysis are the incorporated technologies that are used in the management of the bid data. These technologies are considered exceptional in processing large data quantities efficiently and within tolerable period. These technologies have led to an increased demand of big data information management especially with organizations that generate enormous data on a daily basis (Heath & Bizer, 2011, p.162). For instance,