Implementing the Power of Big Data Analytics

Big Data analytics is growing as an innovator across multiple industries, helping companies to obtain useful information from large and unique datasets. This review paper thoroughly looks at the big data analytics principles, processes, uses, challenges, and possibilities. After providing a broad overview of big data, the essay discusses several analytics techniques, including descriptive, prescriptive, predictive, and diagnostic analytics. It covers Hadoop, Spark, machine learning methods, and further Big Data analytics-supporting technologies. The evaluation also addresses the use of big data analytics in a variety of fields, such as cybersecurity, marketing, finance, and healthcare. Big data analytics-related ethical, security, and privacy issues are also discussed. The final section of this study discusses current developments and potential paths forward. The paper concludes by highlighting new developments and potential paths for the subject, providing insights into how data-driven decision-making is developing.