Stream-Batch Integration

DataFunTalk

Jun 10, 2024 · Big Data

Data Lake Development Trends, Architecture, Integration, and Lakehouse Core Capabilities

This article reviews the latest developments in data lakes, including trend analysis, overall architecture, data integration methods, Lakehouse core capabilities, open design principles, stream‑batch unified processing, real‑time OLAP, and lake‑internal warehousing, highlighting how these advances reduce complexity and cost while improving data sharing and performance.

Data LakeReal-time OLAPStream-Batch Integration

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Data Lake Development Trends, Architecture, Integration, and Lakehouse Core Capabilities

iQIYI Technical Product Team

Apr 26, 2024 · Big Data

iQIYI Real-time Lakehouse: Stream‑Batch Unified Architecture

iQIYI replaced its costly Lambda architecture with a unified Iceberg‑based lakehouse that combines Flink streaming and batch processing, cutting data latency from hours to minutes, supporting thousands of tables via a multi‑table sink, guaranteeing completeness, and saving millions of RMB in operational costs.

Data LakeFlinkReal-time Processing

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iQIYI Real-time Lakehouse: Stream‑Batch Unified Architecture