BestHub
Sign in
Tagged articles
12 articles
Page 1 of 1
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Jan 6, 2026 · Industry Insights

Apache Paimon: Boosting Real-Time Data Lakes for Fraud Detection & Manufacturing

This article examines Apache Paimon’s innovative lakehouse architecture, detailing its LSM‑Tree storage, flexible merge engine, and multi‑engine integration, and showcases two real‑world deployments—an operator’s real‑time fraud‑prevention system and a manufacturing firm’s unified data platform—highlighting performance gains and cost reductions.

Apache PaimonBig DataLakehouse
0 likes · 15 min read
Apache Paimon: Boosting Real-Time Data Lakes for Fraud Detection & Manufacturing
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Sep 22, 2025 · Big Data

How Hisense Juhau Revamped Its Big Data Platform for Real‑Time Intelligence

Hisense Juhau, an AI‑enabled TV cloud service, overhauled its massive offline‑centric data platform by adopting a real‑time data lake, compute‑storage separation, and serverless Spark/StarRocks on Alibaba Cloud, achieving sub‑5‑minute data freshness, elastic scaling, and dramatically improved performance for personalized content recommendation and smart operations.

Apache PaimonReal-time Data Lakecloud computing
0 likes · 13 min read
How Hisense Juhau Revamped Its Big Data Platform for Real‑Time Intelligence
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 30, 2024 · Big Data

Apache Paimon Becomes a Top-Level Project: A Comprehensive Overview of Lakehouse Framework Capabilities and Future Trends

The article reviews Apache Paimon's graduation to an Apache Top-Level Project, outlines the essential capabilities of modern lakehouse frameworks—including streaming and batch I/O, multi‑engine integration, and advanced features—and discusses the problems they solve and the promising direction of the lakehouse ecosystem.

Apache PaimonBatch ProcessingBig Data
0 likes · 5 min read
Apache Paimon Becomes a Top-Level Project: A Comprehensive Overview of Lakehouse Framework Capabilities and Future Trends
DataFunTalk
DataFunTalk
Apr 23, 2024 · Big Data

Apache Paimon Graduates to Top‑Level Project – Milestones, Core Capabilities, and Community Highlights

Apache Paimon, originally launched as Flink Table Store, has graduated to an Apache Top‑Level Project after a year of incubation, showcasing real‑time lakehouse capabilities, extensive ecosystem integration, and strong adoption by major enterprises, marking a significant milestone for streaming and batch data processing.

Apache PaimonBig DataLakehouse
0 likes · 9 min read
Apache Paimon Graduates to Top‑Level Project – Milestones, Core Capabilities, and Community Highlights
DataFunSummit
DataFunSummit
Mar 25, 2024 · Big Data

Exploring Real-Time Data Lake Practices at Kangaroo Cloud

This article shares Kangaroo Cloud's exploration and practice of a real-time data lake, covering background, data lake concepts, challenges, solution architecture using the Shuzhan platform with Iceberg/Hudi, CDC ingestion, small file handling, cross-cluster ingestion, materialized view acceleration, and future development plans.

CDCCross-Cluster IngestionHudi
0 likes · 12 min read
Exploring Real-Time Data Lake Practices at Kangaroo Cloud
DataFunSummit
DataFunSummit
Nov 4, 2022 · Big Data

Real-Time Data Lake Practice at ByteDance: Architecture, Challenges, and Solutions

ByteDance’s data platform team explains their real‑time data lake implementation, covering its evolving definition, six core capabilities, challenges such as data management, concurrent updates, performance and log ingestion, and detailed case studies of multi‑stage deployment, indexing, metadata services, and future roadmap.

HudiReal-time Data LakeStreaming
0 likes · 32 min read
Real-Time Data Lake Practice at ByteDance: Architecture, Challenges, and Solutions
DataFunTalk
DataFunTalk
Aug 6, 2022 · Big Data

Exploring Real‑Time Data Lake Practices at Xiaohongshu Using Apache Iceberg

This article details Xiaohongshu's data platform engineering, describing how Apache Iceberg is leveraged for real‑time data lake ingestion, CDC pipelines, multi‑cloud storage, small‑file mitigation, schema evolution, and future plans across storage, compute, and management within a big‑data ecosystem.

Apache IcebergCDCFlink
0 likes · 16 min read
Exploring Real‑Time Data Lake Practices at Xiaohongshu Using Apache Iceberg
DataFunTalk
DataFunTalk
Jul 14, 2022 · Big Data

Real‑Time Data Lake Practices at ByteDance and Alibaba: Architecture, Challenges, and Solutions

This article presents detailed case studies of ByteDance and Alibaba implementing real‑time data lake solutions with Hudi and Flink, describing the business drivers, architectural challenges, and the specific technical strategies such as unified metadata layers, optimistic locking, scalable hash indexing, and CDC‑based incremental ETL to achieve low‑latency, high‑throughput data processing.

FlinkHudiReal-time Data Lake
0 likes · 9 min read
Real‑Time Data Lake Practices at ByteDance and Alibaba: Architecture, Challenges, and Solutions
DataFunTalk
DataFunTalk
May 23, 2022 · Big Data

Real-Time Data Lake Practices at ByteDance: Architecture, Challenges, and Solutions

ByteDance shares its real‑time data lake implementation, covering the evolving definition of data lakes, six core capabilities, challenges such as data management, weak concurrent updates, performance, and log ingestion, and detailed solutions including Hudi Metastore Server, bucket indexing, multi‑stage use cases, and future roadmap.

Batch ProcessingHudiReal-time Data Lake
0 likes · 32 min read
Real-Time Data Lake Practices at ByteDance: Architecture, Challenges, and Solutions
DataFunTalk
DataFunTalk
May 11, 2021 · Big Data

Design and Practice of Baixin Bank's Flink‑Based Real‑Time Computing Platform and Hudi‑Powered Real‑Time Data Lake

This article details Baixin Bank's construction of a Flink‑driven real‑time computing platform integrated with Hudi as a real‑time data lake, covering background, architecture, data collection, transformation, storage layers, technical challenges, future roadmap, and practical lessons for similar big‑data initiatives.

Big DataFlinkHudi
0 likes · 12 min read
Design and Practice of Baixin Bank's Flink‑Based Real‑Time Computing Platform and Hudi‑Powered Real‑Time Data Lake