Big Data Concept

  Introduction In the era of big data, organizations are inundated with vast amounts of information from diverse sources, ranging from structured databases to unstructured streams like social media and IoT devices. Data lakes have emerged as a scalable solution for storing this raw data in its native format, allowing for flexible analysis without predefined schemas. However, managing these repositories at scale presents significant challenges, including data quality issues, governance, and efficient retrieval. Enter agentic AI—a paradigm shift in artificial intelligence where autonomous agents can reason, plan, and execute tasks independently. Unlike traditional AI models that respond reactively, agentic AI systems act proactively, adapting to dynamic environments. When integrated with data lakes, agentic AI streamlines large-scale data management by automating ingestion, processing, governance, and analytics. This chapter explores the synergy between agentic AI and data lakes...