Big Data Tools and Ecosystems You Should Know
Big Data Tools and Ecosystems You Should Know The world of big data blends storage, processing, and governance. Cloud services have made many tools easier to run, but the landscape remains large. The best setup depends on your data volume, the speed you need, and the skills in your team. This guide outlines the main tool areas and shows how they fit together in real projects. Data storage is the foundation. A modern approach often uses a data lakehouse, which combines a data lake with warehouses features. Formats like Apache Iceberg, Delta Lake, or Apache Hudi help manage large tables, support schema evolution, and enable fast queries. For processing, Spark handles batch workloads well, and Flink shines in streaming tasks. For real‑time data, a message bus like Kafka connects ingestion to downstream engines, dashboards, and models. ...