Iceberg

Big Data Architectures for Large-Scale Analytics Large-scale analytics comes from many sources: logs, transactions, sensors, and social feeds. A clear architecture helps teams turn raw data into reliable insights. The goal is to balance speed, cost, and accuracy while keeping data safe and accessible for analysts and apps. Core layers include ingestion, storage, processing, serving, and governance. Ingestion collects data with batch or streaming methods. Storage uses object stores for raw data and warehouses for curated, fast queries. Processing runs jobs in batches or as streams, turning raw data into analytics-ready formats. Serving layers provide dashboards and APIs. Governance handles data quality, lineage, and access control. ...