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StarRocks
StarRocks
Feb 20, 2025 · Big Data

How RedBI Boosted Query Speed 3× with StarRocks & Iceberg Lakehouse

The article details how Xiaohongshu's RedBI self‑service analytics platform transformed its architecture by integrating StarRocks and Iceberg, replacing ClickHouse‑based storage with Parquet, introducing DataCache, Z‑Order sorting and intelligent key selection, achieving a three‑fold P90 query speed improvement, sub‑10‑second latency, and halving storage consumption.

DataCacheIcebergLakehouse
0 likes · 19 min read
How RedBI Boosted Query Speed 3× with StarRocks & Iceberg Lakehouse
Baidu Geek Talk
Baidu Geek Talk
Apr 10, 2024 · Big Data

TDA: A One‑Stop Self‑Service BI Platform – Architecture, Challenges, and Solutions

The article presents Turing Data Analysis (TDA), a self‑service BI platform that replaces fragile traditional pipelines with a unified DWD‑based data model, drag‑and‑drop analytics, multi‑engine query optimization and caching, delivering sub‑10‑second queries on billions of rows, fine‑grained permissions, and rapid dashboard creation, while reporting significant usage growth and outlining AI‑driven future enhancements.

BIBig DataData Platform
0 likes · 15 min read
TDA: A One‑Stop Self‑Service BI Platform – Architecture, Challenges, and Solutions
DataFunSummit
DataFunSummit
Jan 31, 2024 · Big Data

iQIYI Magic Mirror: Evolution of a Big Data Analysis Platform

iQIYI's Magic Mirror platform, evolving from 1.0 to 3.0, addresses the growing data analysis demands of the internet industry by empowering self‑service analytics, introducing multi‑stage architectures, advanced computation engines, customizable SQL, and visual dashboards, thereby improving efficiency, scalability, and data security for business users.

Big DataData PlatformSQL
0 likes · 18 min read
iQIYI Magic Mirror: Evolution of a Big Data Analysis Platform
DataFunSummit
DataFunSummit
Jan 4, 2024 · Big Data

YY Live Business Metric Governance Practice

This presentation details YY Live’s data product team’s end‑to‑end business metric governance practice, covering problem background, analysis, governance objectives, multi‑team collaboration, implementation steps, achieved efficiencies, and future directions leveraging large language models.

Big DataData PlatformLLM
0 likes · 16 min read
YY Live Business Metric Governance Practice
Zhuanzhuan Tech
Zhuanzhuan Tech
Dec 27, 2023 · Big Data

Implementing Self-Service OLAP Analytics with Quick BI and StarRocks: Architecture, Optimizations, and Lessons Learned

This article presents a comprehensive case study of building a self‑service OLAP analytics platform at ZhaiZhai using Quick BI and StarRocks, covering background motivations, technical architecture, implementation details, performance‑optimizing case studies, and the resulting business impact.

Data WarehouseOLAPPerformance Optimization
0 likes · 16 min read
Implementing Self-Service OLAP Analytics with Quick BI and StarRocks: Architecture, Optimizations, and Lessons Learned
Architecture Digest
Architecture Digest
Mar 22, 2023 · Big Data

Performance Platform: Accelerating Data Production and Consumption

This article details how the Performance Platform at Baidu speeds up data production and consumption across the company's R&D pipelines by introducing five optimization paths, 18 concrete methods, service tiering, compliance measures, and self‑service analytics for both real‑time memory tables and offline disk tables.

ETLSelf-Service Analyticsdata compliance
0 likes · 13 min read
Performance Platform: Accelerating Data Production and Consumption
dbaplus Community
dbaplus Community
Dec 13, 2022 · Big Data

How ClickHouse Powers Real-Time Self-Service Analytics at Scale

Facing massive daily data volumes and complex, ad‑hoc analytical needs, Zhaozhuan’s engineering team evaluated multiple OLAP engines and chose ClickHouse, then built a four‑layer self‑service analytics platform, detailing architecture, use‑cases, performance tuning, large‑scale joins, and future roadmap challenges.

Big DataClickHouseData Architecture
0 likes · 14 min read
How ClickHouse Powers Real-Time Self-Service Analytics at Scale
DataFunSummit
DataFunSummit
Dec 10, 2022 · Big Data

Applying Apache Spark in Guanyuan Self-Service Analytics System: Architecture, Challenges, and Solutions

This presentation details how Guanyuan Data leverages Apache Spark within its self‑service analytics platform, covering product features, flexible deployment, resource isolation, performance challenges, architectural solutions, and future cloud‑native enhancements to support thousands of users and massive query workloads.

Apache SparkBig DataData Platform
0 likes · 14 min read
Applying Apache Spark in Guanyuan Self-Service Analytics System: Architecture, Challenges, and Solutions
ITPUB
ITPUB
Dec 10, 2022 · Big Data

How ClickHouse Powers Real-Time Self-Service Analytics at Scale

This article examines why ClickHouse was chosen as the OLAP engine for a massive self‑service analytics platform, describes the system architecture, shares concrete memory and performance tuning parameters, and outlines current challenges and future roadmap for large‑scale real‑time data analysis.

Big DataClickHouseData Architecture
0 likes · 14 min read
How ClickHouse Powers Real-Time Self-Service Analytics at Scale
Zhuanzhuan Tech
Zhuanzhuan Tech
Dec 7, 2022 · Databases

ClickHouse in Self‑Service Analytics: OLAP Selection, Platform Architecture, Optimization Practices, and Future Outlook

This article examines the selection of ClickHouse as the OLAP engine for a self‑service analytics platform, describes the platform’s architecture, details memory and performance tuning techniques, discusses large‑scale join handling, and outlines current challenges and future development directions for ClickHouse.

ClickHouseData ArchitectureOLAP
0 likes · 12 min read
ClickHouse in Self‑Service Analytics: OLAP Selection, Platform Architecture, Optimization Practices, and Future Outlook
Huolala Tech
Huolala Tech
Nov 24, 2022 · Big Data

How Huolala Built Its Own Self-Service Data Analysis Platform from Scratch

This article details Huolala's journey from identifying the need for a fast, secure, and scalable BI solution to designing and implementing a self‑service data analysis platform that integrates diverse data sources, offers intuitive visualisation, and addresses real‑world operational challenges.

BIData PlatformProduct Development
0 likes · 13 min read
How Huolala Built Its Own Self-Service Data Analysis Platform from Scratch
DataFunTalk
DataFunTalk
Nov 20, 2021 · Big Data

How to Build a Big Data Platform from Zero to One: Architecture, Components, and Best Practices

This article provides a comprehensive guide to designing and implementing a big‑data platform, covering architecture overview, data ingestion with Flume, storage on HDFS/Hive/HBase, processing engines such as Hive, Spark and Flink, scheduling solutions like Azkaban and Airflow, and the construction of self‑service analytics systems.

Big DataETLHadoop
0 likes · 29 min read
How to Build a Big Data Platform from Zero to One: Architecture, Components, and Best Practices
37 Interactive Technology Team
37 Interactive Technology Team
Mar 28, 2019 · Big Data

Approaches to Building a Basic Data Platform

To handle terabytes of daily data and diverse business needs, the company built a three‑layer basic data platform—collection/computation/storage, unified data management, and API‑driven services—augmented by a standardized collection system, a robust Domino scheduler, and a self‑service analysis tool, aiming to evolve into a full data‑middle‑office for end‑to‑end intelligence.

Data ArchitectureData IntegrationScheduling
0 likes · 8 min read
Approaches to Building a Basic Data Platform