BestHub
Sign in
Tagged articles
5 articles
Page 1 of 1
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 18, 2024 · Big Data

Key Trends of Flink 2.0: Compute‑Storage Separation, Unified Batch‑Stream, and Streaming Warehouse

The article reviews the major directions of Flink 2.0—including compute‑storage separation, a new Materialized Table for unified batch‑stream processing, and deeper integration with Paimon for streaming warehouses—while offering a cautious perspective on their practical impact and migration challenges.

Batch-Stream IntegrationBig DataCompute-Storage Separation
0 likes · 5 min read
Key Trends of Flink 2.0: Compute‑Storage Separation, Unified Batch‑Stream, and Streaming Warehouse
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 12, 2024 · Big Data

How Flink + Hologres Power Real‑Time Streaming Warehouses

This article explains how combining Flink with Hologres creates a unified, real‑time streaming warehouse, detailing traditional layering approaches, the advantages of the Hologres‑based solution, core capabilities like Binlog and resource isolation, and a practical e‑commerce case study demonstrating performance gains.

Big DataFlinkHologres
0 likes · 21 min read
How Flink + Hologres Power Real‑Time Streaming Warehouses
DataFunTalk
DataFunTalk
Jan 11, 2022 · Big Data

Interview with Wang Feng (Mo Wen): The Future of Apache Flink and Streaming Warehouses

In an exclusive InfoQ interview, Apache Flink community leader Wang Feng (aka Mo Wen) outlines the evolution of Flink toward a Streaming Warehouse, detailing recent technical advances, use‑case scenarios, and the upcoming Dynamic Table storage that aim to unify stream and batch processing for real‑time data‑warehouse workloads.

Apache FlinkBig DataDynamic Table
0 likes · 16 min read
Interview with Wang Feng (Mo Wen): The Future of Apache Flink and Streaming Warehouses
Programmer DD
Programmer DD
Jan 8, 2022 · Big Data

How Flink’s Streaming Warehouse Is Redefining Real‑Time Data Lakes

This interview explores Apache Flink’s evolution toward a Streaming Warehouse, detailing its stream‑batch integration, new CDC‑based data integration, the Dynamic Table storage architecture, and how these innovations aim to simplify and accelerate real‑time big‑data analytics.

Apache FlinkBig DataDynamic Table
0 likes · 17 min read
How Flink’s Streaming Warehouse Is Redefining Real‑Time Data Lakes