Big Data Concept

  Introduction: The Shift to Deriving Value from Data In the digital age, data has evolved from a mere byproduct of business operations to a strategic asset that drives decision-making, innovation, and competitive advantage. This chapter explores the paradigm shift toward deriving value from data through big data analytics techniques. Big data, characterized by the "5 Vs"—volume, velocity, variety, veracity, and value—presents both challenges and opportunities. Traditional analytics methods often falter under the sheer scale and complexity of big data, necessitating specialized tools, frameworks, and approaches. The purpose of this chapter is to demonstrate how organizations can transform raw data into actionable insights. We will begin with an overview of the core analytics types—descriptive, diagnostic, predictive, and prescriptive—in the context of big data. Subsequent sections delve into key subtopics, including SQL-based querying on big data platforms (such as Hive ...