Transformation in Data Storing Technique- Big Data: A Literature Review
Abstract: Loss of data implies loss of valuable information. An appropriate gathering of data and finding hidden patterns out of it is key for any business organization to thrive fiscally. With exponential rise in the internet users from the early 2000’s, traditional databases fell short to collect the enormous amount of unstructured data/ semi-structured data, which contained extremely insightful information. Today, data accumulated is not only enormous, but also collected with high speed, having variety, which necessitated special database/software for data gathering and making key decisions based on that. These gigantic amounts of data generated can advocate companies to examine the market trends, market demands, and customer expectation, which endorses them to make relevant foremost decisions. This study discusses the stymie in conventional databases to process the immense data and entailment of advanced databases/software. Furthermore, a case study is presented later to understand the role of big data analytics in business and technical firms. Keywords: Big Data, structured data, unstructured data, NoSQL, Hadoop.