TECHNOLOGIES FOR HANDLING BIG DATA

Abstract

In the digital era, data has become one of the most valuable assets, fueling decision-making, innovation, and technological progress. The massive amount of data generated from diverse sources such as social media, sensors, business transactions, and scientific instruments has given rise to the concept of "Big Data." This paper explores the nature of big data, its defining characteristics, and the modern technologies used to store, manage, and analyze it. It discusses the key components of big data ecosystems, including distributed file systems, data processing frameworks, and advanced analytical tools such as Hadoop, Spark, NoSQL databases, and machine learning platforms. The study also examines how cloud computing, artificial intelligence (AI), and data visualization tools contribute to handling large-scale data efficiently. Finally, it highlights the challenges and ethical considerations of big data management and outlines future directions for sustainable and intelligent data-driven systems.