Big Data Concept

  Introduction In the era of Big Data, organizations collect massive volumes of structured and unstructured data from diverse sources. However, raw data is rarely perfect. It often contains errors, missing values, duplicates, or inconsistencies that compromise its quality and reliability. Data cleaning, also known as data preprocessing, is therefore a crucial step in any Big Data project. Traditional approaches to data cleaning are often manual, rule-based, and time-consuming.  With the advent of Agentic AI , a new paradigm is emerging—one that automates, adapts, and optimizes data cleaning at scale. What is Agentic AI? Agentic AI refers to artificial intelligence systems that operate with goal-driven autonomy , capable of perceiving their environment, reasoning about tasks, and taking actions without continuous human oversight. Unlike static machine learning models, Agentic AI agents can dynamically adapt to new conditions, negotiate trade-offs, and optimize workflows i...