Abstract
Analytical Big Data is a term that is used to store huge data in single unit under one name. Analytical Big Data describes the structure as well as the data used on daily basis .In Analytical Big Data, amount of data is not much important, but it is important how much essential information it stores. Big Data analytics has become one of the crucial needs of the hour for the IT, research and academic sectors. The random growth in digital information is increasing at a very high rate over the internet infrastructure and is mainly in the unstructured form including tweets, Face book posts/likes, blogs, news, articles, YouTube videos and much more. Everyday billions of people fetch, upload and share information on social media and other platforms through mobile phones, laptops, PDAs. In this paper, we present an overview of Big Data and challenges are explained in detail and practice by identifying the determinants impacting construction organizations' capability to adopt Big Data and predictive analytics and in the development of a computerized assessment tool which also serves as a benchmarking tool for construction organizations in the implementation of Big Data and predictive analytics.
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