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Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 4, 2026 · Big Data

How Paimon + StarRocks Power Real‑Time OLAP for Double‑11 Mega‑Sales

During Double‑11 mega‑sales, Taobao Group faced exploding OLAP query traffic, costly data sync pipelines, and slow near‑real‑time analytics, so they unified real‑time and batch data in Paimon, leveraged StarRocks for high‑performance lake queries, tuned cluster settings, and saved nearly ten‑million yuan annually while cutting refresh latency by 80%.

Big DataData LakeOLAP
0 likes · 22 min read
How Paimon + StarRocks Power Real‑Time OLAP for Double‑11 Mega‑Sales
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 2, 2026 · Big Data

Real‑Time Analytics with Alibaba Cloud Serverless Spark & Paimon for Taobao Flash Sale

This article details how Alibaba Cloud EMR Serverless Spark combined with the Paimon lakehouse framework enables Taobao Flash Sale’s retail data team to achieve low‑latency, high‑throughput real‑time analytics, batch processing, and feature generation, outlining architecture evolution, performance gains, and practical Spark tuning techniques.

Big DataLakehousePaimon
0 likes · 18 min read
Real‑Time Analytics with Alibaba Cloud Serverless Spark & Paimon for Taobao Flash Sale
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Feb 2, 2026 · Big Data

How We Built a Scalable Lakehouse Architecture with StarRocks, Paimon, and Flink

This article details the evolution of a data warehouse at RenliJia from a MaxCompute‑centric setup to a modern lakehouse using StarRocks, Paimon, Flink, and Fluss, describing design goals, technical evaluations, implementation steps for offline, OLAP, and real‑time workloads, and the challenges and future plans that emerged.

Big DataData WarehouseFlink
0 likes · 25 min read
How We Built a Scalable Lakehouse Architecture with StarRocks, Paimon, and Flink
StarRocks
StarRocks
Jan 22, 2026 · Big Data

How Paimon + StarRocks Accelerates Double‑11 OLAP Queries by 80% Refresh Speed

This article explains how Taotian Group unified real‑time and offline data using Paimon as lake storage and StarRocks for high‑performance OLAP, eliminating costly sync pipelines, cutting refresh time by about 80%, saving nearly ten million yuan annually, and detailing the architecture, cluster safeguards, configuration tweaks, monitoring, and future roadmap for large‑scale promotional events.

Big DataData ArchitectureOLAP
0 likes · 24 min read
How Paimon + StarRocks Accelerates Double‑11 OLAP Queries by 80% Refresh Speed
Ctrip Technology
Ctrip Technology
Nov 20, 2025 · Big Data

How Ctrip Achieved Minute‑Level Real‑Time Analytics with Flink CDC & Apache Paimon

Ctrip transformed its traditional T+1 offline warehouse into a near‑real‑time lakehouse by integrating Flink CDC with Apache Paimon, designing a two‑stage CDC ingestion, optimizing performance, implementing dynamic updates, and deploying the solution across multiple business scenarios, achieving minute‑level latency, reduced costs, and faster data‑driven decisions.

CDCFlinkPaimon
0 likes · 27 min read
How Ctrip Achieved Minute‑Level Real‑Time Analytics with Flink CDC & Apache Paimon
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Sep 11, 2025 · Big Data

How Paimon Transforms Membership Data Warehousing: From Legacy Lambda to Real‑Time Lakehouse

This article examines the challenges of a legacy Lambda‑based membership data warehouse, introduces Apache Paimon’s lakehouse architecture and its key features, and showcases three real‑world implementations—partial‑update order wide tables, Bitmap‑based UV counting, and branch‑based data correction—while discussing benefits, remaining challenges, and future directions.

Big DataData LakeData Warehouse
0 likes · 29 min read
How Paimon Transforms Membership Data Warehousing: From Legacy Lambda to Real‑Time Lakehouse
High Availability Architecture
High Availability Architecture
Sep 10, 2025 · Big Data

How Ctrip Business Travel Built a Near‑Real‑Time Lakehouse with Flink CDC & Paimon

This article details Ctrip Business Travel’s implementation of a near‑real‑time data warehouse using Flink CDC and the Paimon lakehouse engine, covering order wide‑table construction, ticket refund alerts, ad attribution, batch‑stream integration, and practical lessons on Partial Update, Aggregation, and Tag‑based incremental processing.

?=Batch-Stream IntegrationFlink
0 likes · 17 min read
How Ctrip Business Travel Built a Near‑Real‑Time Lakehouse with Flink CDC & Paimon
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Sep 8, 2025 · Big Data

How Ele.me Revolutionized Real‑Time Data Warehousing with Flink‑Paimon Lakehouse

In this detailed case study, Alibaba’s Ele.me team explains how they evolved from siloed, chimney‑style real‑time warehouses to a unified Flink‑Paimon lakehouse, highlighting the three development stages, technology evaluations, the Alake platform’s one‑stop capabilities, production results, and future directions such as Fluss and AI integration.

AlakeFlinkLakehouse
0 likes · 17 min read
How Ele.me Revolutionized Real‑Time Data Warehousing with Flink‑Paimon Lakehouse
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Sep 5, 2025 · Big Data

How StarRocks + Paimon Powered Real‑Time Analytics for Alibaba’s Taobao Flash Sale

Facing minute‑level decision demands and billions of marketing events during Taobao's Flash Sale, the Ele.me data team built a real‑time lakehouse with StarRocks and Paimon, leveraging asynchronous materialized views, RoaringBitmap de‑duplication, and resource isolation to achieve sub‑second query latency, lower storage costs, and stable high‑concurrency.

LakehouseMaterialized ViewsPaimon
0 likes · 25 min read
How StarRocks + Paimon Powered Real‑Time Analytics for Alibaba’s Taobao Flash Sale
StarRocks
StarRocks
Sep 2, 2025 · Big Data

How StarRocks + Paimon Powered Real‑Time Analytics for Alibaba’s Flash Sale

Faced with billions of marketing events and minute‑level decision requirements during Taobao's flash‑sale campaign, the e‑commerce data team built a real‑time lakehouse using StarRocks and Paimon, leveraged asynchronous materialized views and RoaringBitmap deduplication, and achieved sub‑second query latency, massive cost savings, and stable high‑concurrency performance.

Big DataLakehouseMaterialized Views
0 likes · 26 min read
How StarRocks + Paimon Powered Real‑Time Analytics for Alibaba’s Flash Sale
Ctrip Technology
Ctrip Technology
Sep 2, 2025 · Big Data

How Ctrip Built a Near‑Real‑Time Lakehouse with Flink & Paimon

This article details Ctrip Business Travel’s implementation of a near‑real‑time data warehouse and lakehouse using Flink CDC and Apache Paimon, covering order wide‑table construction, automated ticket reminders, ad attribution, batch‑stream integration, and lessons on Partial Update, Aggregation, and Tag‑based incremental processing.

Batch-Stream IntegrationFlinkLakehouse
0 likes · 17 min read
How Ctrip Built a Near‑Real‑Time Lakehouse with Flink & Paimon
58 Tech
58 Tech
Aug 7, 2025 · Big Data

Transform Real‑Time Data Warehousing with Paimon: From Flink ROW_NUMBER to Streaming Lakehouse

This article details how a real‑time data warehouse built on Flink, Kafka, HBase and MySQL was redesigned using Paimon to eliminate costly deduplication, handle out‑of‑order events, enable streaming reads, simplify aggregation, replace multiple lookup sources, and achieve faster, more reliable batch repairs, resulting in major resource and operational gains.

Data WarehouseFlinkLakehouse
0 likes · 24 min read
Transform Real‑Time Data Warehousing with Paimon: From Flink ROW_NUMBER to Streaming Lakehouse
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 7, 2025 · Big Data

Building a Low‑Latency, High‑Capacity Real‑Time Data Platform for Finance

Facing growing data demands in finance, we replaced two legacy synchronization pipelines with a unified, low‑latency architecture using BabelX Real‑Time, Flink CDC, Iceberg v2 and Paimon, achieving minute‑level data freshness, ten‑to‑thirty‑fold query speedups, reduced storage costs, and streamlined schema management across multiple business units.

Big DataFlinkIceberg
0 likes · 12 min read
Building a Low‑Latency, High‑Capacity Real‑Time Data Platform for Finance
StarRocks
StarRocks
Jul 9, 2025 · Big Data

How Shopee Built a Near‑Real‑Time Data Warehouse with Paimon and StarRocks

Shopee combined the Paimon data lake with StarRocks and Flink to create a quasi‑real‑time warehouse, enabling fast task diagnostics and a high‑performance financial reconciliation system while dramatically reducing storage costs and latency through innovative ODS, snapshot, and branch table techniques.

FlinkPaimonStarRocks
0 likes · 13 min read
How Shopee Built a Near‑Real‑Time Data Warehouse with Paimon and StarRocks
DataFunSummit
DataFunSummit
Jun 10, 2025 · Big Data

How OpenLake Redefines Data Lake Infrastructure for the AI Era

This article explores OpenLake's evolution as a data lake platform for AI, covering the transition from Hive to modern lake formats like Iceberg and Paimon, performance benchmarks, metadata management advances, intelligent storage optimization, and the integration of multimodal support with the Lance file format.

AIBig DataData Lake
0 likes · 22 min read
How OpenLake Redefines Data Lake Infrastructure for the AI Era
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 21, 2025 · Big Data

How Alibaba’s A+ Traffic Analysis Achieved Sub‑Second Log Queries with StarRocks & Paimon

This article details how Alibaba's A+ traffic analysis platform tackled trillion‑row log ingestion and high‑concurrency queries by redesigning storage with Paimon, leveraging Flink for real‑time ingestion, and using StarRocks for fast lake analytics, ultimately reducing query latency from minutes to seconds.

FlinkLog AnalyticsPaimon
0 likes · 15 min read
How Alibaba’s A+ Traffic Analysis Achieved Sub‑Second Log Queries with StarRocks & Paimon
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
May 19, 2025 · Industry Insights

How Xiaohongshu Built a Minute‑Level Near‑Real‑Time Data Warehouse with Incremental Computing

Facing billions of daily logs and the need for minute‑level experiment metrics, Xiaohongshu partnered with Yunqi Tech to design a generic incremental‑compute solution that delivers near‑real‑time data warehousing with lower cost, higher accuracy, simplified pipelines, and improved query performance.

Big DataData LakeFlink
0 likes · 24 min read
How Xiaohongshu Built a Minute‑Level Near‑Real‑Time Data Warehouse with Incremental Computing
Huolala Tech
Huolala Tech
May 14, 2025 · Big Data

How Lalamove Scaled Real‑Time Data Warehousing with Flink and Paimon

Lalamove’s international logistics platform transformed its real‑time data warehouse by leveraging Apache Flink and the Paimon lakehouse, addressing challenges of multi‑region data centers, time‑zone diversity, frequent upstream changes, and high costs, while improving scalability, latency, and operational efficiency across global markets.

Big DataFlinkPaimon
0 likes · 13 min read
How Lalamove Scaled Real‑Time Data Warehousing with Flink and Paimon
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 24, 2025 · Big Data

Key Big Data Interview Questions and Practical Answers

This article presents a selection of challenging interview questions frequently asked of big‑data candidates—covering long‑tail task identification, the role of Apache Paimon, handling underperforming cluster nodes, data scale limits, and large‑model fundamentals—along with concise explanations and resources for further study.

AIPaimon
0 likes · 7 min read
Key Big Data Interview Questions and Practical Answers
Alimama Tech
Alimama Tech
Apr 10, 2025 · Big Data

Performance Optimization of Apache Paimon in Dolphin OLAP Engine

The article details how Apache Paimon, integrated as an external table format in Alibaba’s Dolphin OLAP engine, achieves millisecond‑level query latency and up to 10k QPS through ORC push‑down, manifest conversion, caching, concurrency, and encoding optimizations, outperforming StarRocks and Hologres.

DolphinJavaOLAP
0 likes · 17 min read
Performance Optimization of Apache Paimon in Dolphin OLAP Engine
AntData
AntData
Mar 20, 2025 · Big Data

Design and Optimization of Real‑time Data Lake Tables with Paimon and Flink for Advertising Diagnostics

This article presents a comprehensive exploration of using Apache Paimon and Flink to design lake tables that support minute‑level latency, low cost, and unified batch‑stream processing for advertising data, covering schema design, partitioning strategies, performance trade‑offs, cost analysis, and operational best practices.

Big DataData LakeFlink
0 likes · 34 min read
Design and Optimization of Real‑time Data Lake Tables with Paimon and Flink for Advertising Diagnostics
Big Data Technology & Architecture
Big Data Technology & Architecture
Mar 17, 2025 · Big Data

Lakehouse Implementations at Leading Companies: Challenges, Solutions, and Benefits

This article reviews how major tech firms such as Alibaba, Tencent, ByteDance, and Kuaishou tackled lakehouse challenges—including architecture fragmentation, cost, scalability, and complex multimodal data—by adopting real‑time lakehouse solutions like Flink + Paimon, Iceberg + StarRocks, Hudi + LAS, and Doris + Alluxio, and outlines the resulting performance and cost gains.

FlinkLakehousePaimon
0 likes · 9 min read
Lakehouse Implementations at Leading Companies: Challenges, Solutions, and Benefits
Alimama Tech
Alimama Tech
Mar 12, 2025 · Big Data

Design and Evolution of Alibaba Advertising Real-Time Data Warehouse

Alibaba Mama’s advertising platform migrated from a monolithic Flink‑Kafka pipeline to a layered Paimon lakehouse, adding DWS upsert support and multi‑layer storage, which delivers minute‑level data freshness, cuts latency by 2.5 hours, reduces resource use over 40 %, halves development effort and achieves ≥99.9 % availability.

AdvertisingAlibabaData Lake
0 likes · 18 min read
Design and Evolution of Alibaba Advertising Real-Time Data Warehouse
Alimama Tech
Alimama Tech
Feb 21, 2025 · Industry Insights

How Paimon + Dolphin Transform Alibaba’s Brand Data Warehouse for Real‑Time Insights

This article analyzes the challenges of Alibaba Mama's brand advertising data warehouse built on a Lambda architecture, introduces Apache Paimon lake storage and Dolphin OLAP engine as a unified lakehouse solution, details implementation steps, performance gains, and business benefits across multiple advertising scenarios.

Big DataData WarehouseDolphin
0 likes · 15 min read
How Paimon + Dolphin Transform Alibaba’s Brand Data Warehouse for Real‑Time Insights
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 25, 2024 · Big Data

Build a Low‑Cost, High‑Performance Game Player Profiling Platform with Alibaba Cloud EMR StarRocks

This tutorial walks you through using Alibaba Cloud EMR Serverless StarRocks and Apache Paimon to create a cost‑effective, high‑performance game player profiling and behavior analysis platform, covering data import, materialized view creation, DWD/ADS layer construction, and lakehouse integration.

Alibaba CloudData LakeGame Analytics
0 likes · 12 min read
Build a Low‑Cost, High‑Performance Game Player Profiling Platform with Alibaba Cloud EMR StarRocks
DaTaobao Tech
DaTaobao Tech
Dec 18, 2024 · Big Data

Incremental Computation in Big Data: Flink Materialized Table and Paimon

The article explains how Flink 1.20’s Materialized Table combined with Paimon’s changelog storage enables incremental computation that unifies batch and streaming workloads, delivering minute‑level latency at lower cost, illustrated by a materialized‑table example while noting current streaming‑only support and future batch extensions.

Big DataFlinkIncremental Computation
0 likes · 13 min read
Incremental Computation in Big Data: Flink Materialized Table and Paimon
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 12, 2024 · Big Data

Understanding Time Travel and Snapshot Retention in Lake Frameworks (Hudi & Paimon)

This article explains how lake frameworks like Hudi and Paimon implement Time Travel by recording older data versions, the snapshot retention policies that limit historical data access, and practical recommendations for managing snapshots and consumption patterns to reduce storage costs in large‑scale data warehouses.

Big DataHudiPaimon
0 likes · 7 min read
Understanding Time Travel and Snapshot Retention in Lake Frameworks (Hudi & Paimon)
StarRocks
StarRocks
Dec 2, 2024 · Big Data

How Paimon Revamps Lakehouse Management and Supercharges Queries with StarRocks

This article details Tongcheng Travel's migration from Hive/Kudu/Hudi to Paimon for lakehouse integration, highlighting a 30% resource reduction, three‑fold write speed gains, significant query acceleration via StarRocks, the end‑to‑end architecture across ODS‑DWD‑DWS‑ADS layers, and future roadmap plans.

Big DataFlinkLakehouse
0 likes · 18 min read
How Paimon Revamps Lakehouse Management and Supercharges Queries with StarRocks
Big Data Technology & Architecture
Big Data Technology & Architecture
Nov 1, 2024 · Big Data

Real‑Time Lakehouse Architecture at Ximalaya Live: Leveraging Flink, Paimon, and StarRocks

This article details Ximalaya Live's transition from an offline‑centric data warehouse to a real‑time lakehouse using Flink, Paimon, and StarRocks, covering business background, architectural challenges, technology evaluation, implementation steps, encountered issues, performance gains, and future expansion plans.

FlinkLakehousePaimon
0 likes · 12 min read
Real‑Time Lakehouse Architecture at Ximalaya Live: Leveraging Flink, Paimon, and StarRocks
Big Data Technology & Architecture
Big Data Technology & Architecture
Oct 28, 2024 · Big Data

Key Considerations for Using Paimon Primary Key Tables

This article explains the characteristics of Paimon primary key tables, covering bucket selection, cross‑partition update issues, recommended record‑level expiration settings, and two approaches to handle file compaction, including configuration tweaks and dedicated compaction tasks.

Big DataBucketFlink
0 likes · 6 min read
Key Considerations for Using Paimon Primary Key Tables
DataFunTalk
DataFunTalk
Oct 3, 2024 · Big Data

Data Lake Technology Maturity Curve: Architecture, Design Principles, Core Functions, and Open‑Source Solutions

Amid growing data demands, this article explains the data lake technology maturity curve, detailing lake‑warehouse architectural patterns, design principles, core functionalities, and the four leading open‑source solutions (Hudi, Iceberg, Delta Lake, Paimon) to guide enterprises in building flexible, scalable, and governed data platforms.

Big DataData ArchitectureData Lake
0 likes · 10 min read
Data Lake Technology Maturity Curve: Architecture, Design Principles, Core Functions, and Open‑Source Solutions
DataFunTalk
DataFunTalk
Sep 24, 2024 · Big Data

Data Lake Technology Maturity Curve: Architecture Modes, Design Principles, Core Functions, and Applications

This article explains the rapid growth of data-driven businesses, the challenges of traditional data warehouses, and how modern data lake technologies such as Delta Lake, Hudi, Iceberg, and Paimon form a maturity curve that guides enterprises in architecture choices, design principles, core capabilities, and practical applications.

Big DataData LakeDelta Lake
0 likes · 12 min read
Data Lake Technology Maturity Curve: Architecture Modes, Design Principles, Core Functions, and Applications
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 25, 2024 · Big Data

Fundamental Concepts and File Layout of Paimon: Snapshots, Partitions, Buckets, Consistency, and Compaction

This article explains Paimon's core concepts—including snapshots, partitions, buckets, consistency guarantees, file layout, LSM‑tree organization, and compaction strategies—while also covering table management tasks such as snapshot expiration, rollback, partition expiration, and small‑file mitigation techniques.

Big DataBucketsLSM‑Tree
0 likes · 12 min read
Fundamental Concepts and File Layout of Paimon: Snapshots, Partitions, Buckets, Consistency, and Compaction
DataFunTalk
DataFunTalk
May 16, 2024 · Big Data

Streaming Data Lake Warehouse Solution Based on USDP with Flink and Paimon

This article presents UCloud's USDP‑based streaming data lake warehouse solution that leverages Flink for real‑time processing and Paimon for lake storage, detailing its architecture, advantages, practical scenarios, and providing complete SQL and Flink CDC code snippets for end‑to‑end implementation.

CDCData LakeFlink
0 likes · 27 min read
Streaming Data Lake Warehouse Solution Based on USDP with Flink and Paimon
DataFunSummit
DataFunSummit
Apr 25, 2024 · Big Data

Paimon Project Overview: Recent Developments, Core Capabilities, and Future Roadmap

This article presents a comprehensive overview of the Apache‑incubated Paimon project, covering its evolution from Flink Table Store, the current features of primary‑key and log tables, management tools such as snapshots, tags and branches, performance optimizations for Flink and Spark, and a detailed roadmap of upcoming functionalities.

Big DataData ManagementFlink
0 likes · 23 min read
Paimon Project Overview: Recent Developments, Core Capabilities, and Future Roadmap
DataFunSummit
DataFunSummit
Feb 26, 2024 · Big Data

Building a New Lakehouse Analytics Paradigm with StarRocks and Paimon

This article introduces a new lakehouse analytics paradigm by combining StarRocks and Paimon, covering the evolution of data lake technologies, key integration scenarios, core technical mechanisms such as JNI connectors, materialized views, and future roadmap for enhanced lakehouse capabilities.

AnalyticsBig DataData Lake
0 likes · 16 min read
Building a New Lakehouse Analytics Paradigm with StarRocks and Paimon
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
Dec 27, 2023 · Big Data

Recap of Tongcheng Travel’s 7th Big Data Technology Salon – Talks on StarRocks, Paimon, Iceberg, Data+AI, Vector Retrieval, Real‑Time Computing, and Hotel Ranking

The 7th Tongcheng Travel Big Data Technology Salon in Beijing featured a series of expert talks covering StarRocks architecture evolution, lake‑house solutions with Paimon, Iceberg real‑time upsert, Data+AI for travel recommendation, vector retrieval in AI, JD Logistics real‑time computing governance, and multi‑task hotel ranking modeling, providing deep technical insights and future roadmaps.

AIBig DataLakehouse
0 likes · 10 min read
Recap of Tongcheng Travel’s 7th Big Data Technology Salon – Talks on StarRocks, Paimon, Iceberg, Data+AI, Vector Retrieval, Real‑Time Computing, and Hotel Ranking
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Nov 10, 2023 · Big Data

How Open‑Source Big Data 3.0 Is Redefining Real‑Time, Serverless, and AI‑Driven Analytics

The talk outlines Alibaba Cloud's open‑source big data platform evolution to version 3.0, highlighting the streaming lakehouse architecture, full serverless transformation, and AI‑enhanced operations that together enable real‑time analytics, higher performance, and smarter data management.

Apache FlinkPaimonstreaming lakehouse
0 likes · 15 min read
How Open‑Source Big Data 3.0 Is Redefining Real‑Time, Serverless, and AI‑Driven Analytics
StarRocks
StarRocks
Sep 6, 2023 · Big Data

How Paimon + StarRocks Revolutionize Lakehouse Analytics

This article reviews traditional Lambda and Kappa data‑warehouse architectures, then details four Paimon‑StarRocks lakehouse solutions—including a data‑lake center, accelerated query with materialized views, hot‑cold data separation, and the JNI connector—while also outlining StarRocks’ future roadmap for lakehouse analytics.

Big DataLakehousePaimon
0 likes · 11 min read
How Paimon + StarRocks Revolutionize Lakehouse Analytics
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 21, 2023 · Big Data

Key Features and Benefits of Lakehouse Frameworks Hudi, Iceberg, and Paimon

This note outlines how Hudi, Iceberg, and Paimon provide unified batch‑stream storage, UPSERT support, time‑travel capabilities, and lower development costs, enabling a streaming‑warehouse architecture that offers near‑real‑time latency, consistent semantics, persisted intermediate results, and easier historical data repair.

Batch ProcessingHudiIceberg
0 likes · 5 min read
Key Features and Benefits of Lakehouse Frameworks Hudi, Iceberg, and Paimon
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 4, 2023 · Big Data

Building a Real‑Time Streaming Data Warehouse with Paimon on Kubernetes for Supply‑Chain Logistics

This article presents a step‑by‑step guide on how the logistics provider Haicheng Bangda implemented a streaming data warehouse using Paimon, Flink CDC, and Kubernetes, covering business background, architecture choices, environment setup, SQL examples, troubleshooting tips, and future roadmap for their digital transformation.

Big DataCDCData Warehouse
0 likes · 27 min read
Building a Real‑Time Streaming Data Warehouse with Paimon on Kubernetes for Supply‑Chain Logistics