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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
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jun 21, 2024 · Game Development

Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible

When large‑scale A/B testing is impractical for high‑traffic, socially intensive games, developers can rely on methods such as Difference‑in‑Differences, hypothesis proportion analysis, and differential‑ratio comparison to infer the causal impact of content updates on key performance metrics.

Game AnalyticsGame DevelopmentHypothesis Proportion
0 likes · 7 min read
Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible
Tencent Cloud Developer
Tencent Cloud Developer
May 29, 2024 · Artificial Intelligence

Distributed Network Embedding Algorithm for Billion‑Scale Graph Data in Tencent Games

Tencent’s Game Social Algorithm Team presents a Spark‑based distributed network embedding framework that recursively partitions hundred‑billion‑edge game graphs into manageable subgraphs, runs node2vec locally, and fuses results, enabling efficient link prediction and node classification across multiple games within hours.

Game AnalyticsSparkdistributed computing
0 likes · 7 min read
Distributed Network Embedding Algorithm for Billion‑Scale Graph Data in Tencent Games
DataFunTalk
DataFunTalk
Aug 3, 2023 · Game Development

Applying A/B Testing to Drive Growth in Tencent Overseas Games

This article explains how Tencent leverages A/B testing across its overseas games, detailing market differences, experimental methodology, multi‑cloud platform compliance, data architecture, and case studies that illustrate how targeted experiments improve user onboarding, gameplay settings, and email‑based re‑engagement.

A/B testingGame Analyticsdata pipelines
0 likes · 12 min read
Applying A/B Testing to Drive Growth in Tencent Overseas Games
vivo Internet Technology
vivo Internet Technology
Aug 2, 2023 · Game Development

Pre‑Experiment User Stratification Model for Improving AB Test Uniformity in Vivo Game Center

The paper introduces a pre‑user stratification model that uses covariate‑balancing algorithms to create separate strata for distribution and revenue metrics, ensuring equal user allocation in Vivo game‑center AB tests, which reduces metric variance, improves gray‑release effectiveness, and saves significant investigation effort.

AB testingGame AnalyticsSampling
0 likes · 14 min read
Pre‑Experiment User Stratification Model for Improving AB Test Uniformity in Vivo Game Center
vivo Internet Technology
vivo Internet Technology
Jun 21, 2023 · Game Development

Post‑Darwin Method for Game Business Effect Evaluation Using Stratified Sampling

The paper presents the ‘Post‑Darwin’ evaluation framework, which uses stratified sampling to compare participants and non‑participants across uniform payment layers, overcoming uneven user distributions and the lack of viable A/B tests in game‑business effect analysis, and demonstrates its effectiveness through real‑world promotional and reservation case studies.

Game Analyticsbusiness metricsdata analysis
0 likes · 13 min read
Post‑Darwin Method for Game Business Effect Evaluation Using Stratified Sampling
DataFunTalk
DataFunTalk
Nov 12, 2022 · Artificial Intelligence

Causal Inference Methods for Large‑Scale Game Analytics: Distributed Propensity Score Matching, Robust Double‑Robust Estimation, and Panel DID

This article introduces causal inference methodologies tailored for game scenarios, discusses the challenges of offline inference on massive data, and presents three distributed solutions—low‑complexity propensity‑score matching, robust double‑robust estimation, and panel difference‑in‑differences—along with their implementation details and performance insights.

Game AnalyticsPropensity Score Matchingcausal inference
0 likes · 12 min read
Causal Inference Methods for Large‑Scale Game Analytics: Distributed Propensity Score Matching, Robust Double‑Robust Estimation, and Panel DID
ITPUB
ITPUB
Sep 20, 2022 · Backend Development

How to Build a High‑Performance Game Event Queue with Redis and Lua

This article explains how to design a Redis‑based pseudo‑message queue that groups, limits, and batch‑processes game‑level behavior data using Lua scripts, achieving millisecond‑level latency, controlled queue length, and scalable production‑consumer throughput for large‑scale game analytics.

Game AnalyticsLuaMessage Queue
0 likes · 14 min read
How to Build a High‑Performance Game Event Queue with Redis and Lua
37 Interactive Technology Team
37 Interactive Technology Team
Aug 23, 2022 · Big Data

Optimizing Game Event Reporting with Stream Processing to Overcome ClickHouse Performance Bottlenecks

Faced with ClickHouse query times ballooning to over an hour for massive game‑event data, the team replaced the DB‑pull model with a stream‑processing pipeline that evaluates trigger rules in real time, cuts batch queries by 60 %, and brings reporting latency down to minutes.

Game AnalyticsPerformance Optimizationclickhouse
0 likes · 6 min read
Optimizing Game Event Reporting with Stream Processing to Overcome ClickHouse Performance Bottlenecks
网易UEDC
网易UEDC
Aug 19, 2022 · Big Data

How Survival Analysis Reveals Player Churn in Naraka: Bladepoint

This article presents a data analyst’s walkthrough of player churn analysis for the battle‑royale game Naraka: Bladepoint, illustrating how survival analysis, epidemiological experiment designs, and econometric causal inference methods can uncover systemic and event‑driven attrition and guide more effective game‑operation strategies.

Game Analyticscausal inferencechurn analysis
0 likes · 8 min read
How Survival Analysis Reveals Player Churn in Naraka: Bladepoint
Python Programming Learning Circle
Python Programming Learning Circle
Aug 17, 2022 · Big Data

Game Industry User Data Analysis: Registration Distribution, Payment Metrics, and Consumption Patterns

This article presents a comprehensive Python-based analysis of a large game dataset (2.29 million records, 109 fields), covering user registration trends, payment rates, ARPU/ARPPU calculations, level‑based spending behavior, and consumption patterns of resources and acceleration items, with visualizations and actionable conclusions.

Big DataGame AnalyticsPython
0 likes · 11 min read
Game Industry User Data Analysis: Registration Distribution, Payment Metrics, and Consumption Patterns
DataFunTalk
DataFunTalk
Jun 29, 2022 · Big Data

Migrating a Game Data Platform to StarRocks: Architecture, Performance Gains, and Operational Benefits

This article describes how the gaming company Boke City rebuilt its comprehensive data service platform by replacing a CDH‑based Impala solution with StarRocks, detailing the architectural changes, performance benchmark results, and the resulting improvements in query speed, real‑time data updates, and operational simplicity.

Big DataData PlatformGame Analytics
0 likes · 14 min read
Migrating a Game Data Platform to StarRocks: Architecture, Performance Gains, and Operational Benefits
DataFunTalk
DataFunTalk
Nov 24, 2021 · Big Data

Tencent Game Big Data Analysis Engine: Architecture, Practices, and Future Plans

This article presents Tencent's game big‑data analysis platform, detailing its background, the architecture of the iData engine—including offline multi‑dimensional analysis (TGMars), online portrait analysis (TGFace), and real‑time multi‑dimensional analysis (TGDruid)—application scenarios, performance insights, and future ecosystem and open‑source plans.

Big DataGame AnalyticsOLAP
0 likes · 15 min read
Tencent Game Big Data Analysis Engine: Architecture, Practices, and Future Plans
Tencent Tech
Tencent Tech
Sep 10, 2021 · Big Data

How Sohu Changyou Migrated 1 PB of Game Data to the Cloud Without Downtime

This article details how Sohu Changyou’s data team, together with Tencent Cloud engineers, planned and executed a seamless migration of over one petabyte of game data to Elastic MapReduce, Elasticsearch Service and Oceanus, achieving zero service impact and dramatically improving analytics performance.

Big DataEMRGame Analytics
0 likes · 9 min read
How Sohu Changyou Migrated 1 PB of Game Data to the Cloud Without Downtime
Java High-Performance Architecture
Java High-Performance Architecture
Jun 14, 2021 · Big Data

How NetEase Games Built a Scalable Flink‑Based Streaming ETL Platform

This article explains how NetEase Games engineers designed and operated a Flink‑driven streaming ETL system, covering business background, log classification, dedicated and generic ETL services, architecture evolution, Python UDF integration, runtime optimizations, tuning practices, fault‑tolerance mechanisms, and future roadmap.

FlinkGame Analyticsdata pipeline
0 likes · 22 min read
How NetEase Games Built a Scalable Flink‑Based Streaming ETL Platform
DataFunTalk
DataFunTalk
Apr 3, 2021 · Big Data

Building a Real-Time Data Computing Platform for Tencent Games: Practices and Architecture

This article describes Tencent Games' end‑to‑end real‑time data platform, covering its construction background, the unified OneData development framework, the OneFun data‑service API layer, micro‑service and ServiceMesh management, and the operational benefits achieved through automation, standardization, and scalability.

FlinkGame AnalyticsMicroservices
0 likes · 14 min read
Building a Real-Time Data Computing Platform for Tencent Games: Practices and Architecture
dbaplus Community
dbaplus Community
Dec 23, 2019 · Databases

How to Deploy, Scale, and Monitor ClickHouse for High‑Performance Big Data Analytics

This article explains ClickHouse's deployment architecture, read‑write separation, shard expansion steps, write‑batch strategies, a three‑layer monitoring model, and its practical application in Tencent's game analytics platform, offering concrete guidance for building a stable, high‑throughput analytics service.

Big DataDeploymentGame Analytics
0 likes · 21 min read
How to Deploy, Scale, and Monitor ClickHouse for High‑Performance Big Data Analytics
Big Data Technology & Architecture
Big Data Technology & Architecture
Oct 31, 2019 · Big Data

Tencent Game Big Data Operations Overview and Asset Management Practices

The article presents Tencent's game big‑data operation landscape, detailing massive daily data volumes, key challenges in data diversity, quality, and governance, and describing a comprehensive asset‑management framework that combines metadata, collection architecture, lineage, security, cost control, and value assessment to ensure high‑quality, low‑latency data services.

Game AnalyticsTencent
0 likes · 5 min read
Tencent Game Big Data Operations Overview and Asset Management Practices
MaGe Linux Operations
MaGe Linux Operations
Aug 2, 2018 · Big Data

Unlocking PUBG Victory: Data‑Driven Insights on Drop Zones, Final Circles, Weapons, and Kill Strategies

This article analyzes 18 million PUBG match records using Python to reveal optimal drop locations, high‑probability final‑circle spots, preferred weapons, and the relationship between kill distance, kill count, and winning chances, providing data‑driven strategies for players seeking more chicken dinners.

Big DataGame AnalyticsPUBG
0 likes · 13 min read
Unlocking PUBG Victory: Data‑Driven Insights on Drop Zones, Final Circles, Weapons, and Kill Strategies
Suning Design
Suning Design
Oct 21, 2014 · Product Management

Mastering Game Product Data Analysis: From 5W2H to AARRR Metrics

This guide explains how to conduct comprehensive product data analysis for games, covering methods like 5W2H, multi‑dimensional analysis, user modeling, and the AARRR framework, while detailing key metrics such as DAU, ARPU, LTV, CAC and ROI to drive informed decisions.

AARRRGame AnalyticsKPIs
0 likes · 11 min read
Mastering Game Product Data Analysis: From 5W2H to AARRR Metrics