Warehouses to Lakehouses скачать в хорошем качестве

Warehouses to Lakehouses

In this video, we explore the journey from traditional data warehouses to modern lakehouse architectures, highlighting how organizations manage structured, semi‑structured, and unstructured data at scale. 🔍 What you’ll learn: Differences between structured, semi‑structured, and unstructured data Schema‑on‑Write vs Schema‑on‑Read and when to use each How Apache Hudi, Iceberg, and Delta Lake bring ACID transactions, time travel, and reliability to data lakes Why lakehouses combine the best of data warehouses + data lakes Real‑world use cases across analytics, real‑time ingestion, and AI workloads 🏥 Industry spotlight – Healthcare: How FHIR enables interoperability for clinical records How DICOM standardizes medical imaging exchange Secure data sharing at scale for healthcare analytics 🤖 AI & Advanced Analytics: Role of vector indexing and natural language processing Extracting insights from unstructured text and documents Enabling AI‑driven analytics on lakehouse platforms 🚀 This video is ideal for data engineers, architects, and analytics teams designing scalable, cloud‑native systems that support BI, AI, and secure data sharing. 👍 Like | 💬 Comment | 🔔 Subscribe for more data engineering deep dives #Lakehouse #DataWarehouse #DataEngineering #ApacheIceberg #DeltaLake #ApacheHudi #BigData #Analytics #AIData