The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a
To answer this research question, the pa- per aims to provide a general taxonomy to broaden the under- standing of BDA and its role in creating business value. More specifically, the aims of this paper are: & To identify definitional perspectives of big data analytics & To distinguish the ...
Review paper on big data analyticsG. YasasviInternational journal of applied research
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design a
Download PDF 8 Emerging Data Connectivity Trends in 2025 explores how organizations can overcome unstructured data, fragmented platforms, and evolving industry standards. Packed with insights on AI, Excel, and real-time analytics, this white paper highlights how interconnected data pipelines can streamli...
Big data has a substantial role nowadays, and its importance has significantly increased over the last decade. Big data’s biggest advantages are providing knowledge, supporting the decision-making process, and improving the use of resources, services, a
During the operation of an industrial system, the efficacious information can be extracted and purified through big data analytics (BDA) techniques; BDA has played a significant role in production scheduling, transportation time forecasting, and customer demand forecasting, equipment fault detection and ...
Learn about the history of big data and how business evolved to leverage it. This whitepaper from TDWI takes an in-depth look at big data, analytics, and the effect they have on businesses today.
This paper analyzes the ethics of social science research (SSR) employing big data. We begin by highlighting the research gap found on the intersection bet
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information