A–Z of Big Data Analytics Explained 🚀 | Learn Data Science & Big Data Basics in 10 Minutes
🔤 A–Z of Big Data Analytics 📊🚀 A – Analytics The process of examining data to discover patterns, trends, and insights for better decision-making. B – Big Data Extremely large and complex datasets that traditional tools can’t process efficiently. C – Cloud Computing On-demand computing resources (storage, servers, tools) used to process big data at scale. D – Data Lake A centralized repository that stores structured, semi-structured, and unstructured data in raw form. E – ETL (Extract, Transform, Load) The process of extracting data, transforming it into usable format, and loading it into systems. F – Fault Tolerance The ability of a system to continue working even if some components fail. G – Governance Policies and controls to ensure data quality, security, and compliance. H – Hadoop An open-source framework for distributed storage and processing ...