Big Data Analytics with 1 Disc  (pepercover, Dr.R.Kiruba Buri, Dr.B.Rajappa, Dr.K.Swaminathan)

Big Data Analytics refers to the process of examining large, complex datasets—called big data—to uncover hidden patterns, correlations, trends, and insights that can support decision-making. These datasets are characterized by the 5 V’s: Volume (large amounts of data), Velocity (fast data processing), Variety (different data types), Veracity (uncertainty in data), and Value (usefulness of data). Using advanced tools and techniques such as machine learning, data mining, artificial intelligence, and statistical analysis, big data analytics helps organizations gain actionable insights to improve performance, efficiency, and customer satisfaction. It is widely applied across industries including healthcare, finance, retail, and transportation. The analytics process typically involves data collection, storage, cleaning, processing, and visualization. Technologies like Hadoop, Spark, and cloud computing platforms play a key role in managing and analyzing big data. Despite challenges such as data privacy, security, and complexity, big data analytics is transforming how organizations operate and compete in the digital age.