Flink Forward Asia 2025-新加坡嘉宾演讲PPT合集（共29套打包）

1、Accelerate Data Ingestionin Real-Time Lakehouse via Flink CDCLeonard Xu Flink PMC Member&Flink CDC Lead,Staff Enigeneeralibaba01WhyReal-Time Lakehouse need Flink CDC03HowTo use Flink CDC02WhatIs 。

2、An Efficient Product Selection Platform for LazadaBased on Flink+HologresRichard Chen|Head of Supply Tech,Lazada01Background02Solution03Benefits04FutureBackground01AnalyticsPool SchedulingPool Manage。

3、Real-Time Lakehouse Analytics with StarRocks:Powering Efficient Data Processing from Ingestion to InsightZhen Fan|Staff Engineer|Alibaba Could Yan Zhang|Staff Engineer|CelerData01Near-real-timeStream。

4、From Data Streams to Actionable InsightsGrabs Journey with Flink in Real-Time Analytics and Data QualityCalvin TranSenior Software EngineerYuanzhe LiuSenior Software Engineer-Get to know us-Flink at 。

5、Unleashing the Power of FlinkAlibaba Cloud Enterprise-Grade Streaming at ScalePerry HuangProduct Lead of Alibaba Cloud Realtime Compute for Apache Flink02AI MagicAI+Real-time=Mind Blown01Enterprise S。

6、Data Lake Formation:Full managed Lakehouse for Data+AI on Alibaba CloudJingsong LiHead of Open Data Data Lake PlatformPMC Chair of Apache PaimonPMC Member of Apache FlinkAlibaba Cloud01Lakehouse Tech。

7、About Goto?3Countries20+Products1 leadingIn Numbers 3.1 millionDriver-partners1.Data per December 20232.Data per July 2020-July 2021Over1 millionGoFood merchantsOver140 millionOrders delivered across。

8、Real-Time AI Defines Our FutureMike GualtieriVP&Principal Analyst3 July 2025 Flink Forward-Singapore Forrester Research,Inc.All rights reserved.Research Focus Streaming Data Platforms AI Platform。

9、Real-time anomaly detection on streaming data using Random Cut Forest on Apache FlinkHong Liang TeohSenior Software Engineer,ConfluentApache Flink Committer01 Understanding Anomaly Detection02 Anomal。

10、Data LakeFile FormatsReal-Time Lake Format200820162017202220232025The upgrade table format of Hive,high-performance format for huge analytic tablesIncubated Flink-Table-StoreStreaming+Lake FormatApac。

11、Enhancing Flink Deployment with Downtime-Free Shadow TestingTeelong LangSenior DevOps EngineerGet to know usTee Long LangStreaming Processing PlatformSenior DevOps Engineer01IntroChallenges of deploy。

12、Building a Real-Time Data Warehouse with Flink and OceanBaseDanny Higgins OceanBaseWhat is OceanBase?Trusted by 2,000+brands globally Cloud agnosticAlipay,Starbucks,T,GCash,DANA,Touch n Go,Haidilao,T。

13、From Logs to LogicA Structured Event System for Flink Observability and AIOpsKartikey PantSalesforceThe Flink Observability Gap01Log parsing is a fragile foundation for automation.Metrics show the wh。

14、 2025 VervericaFrom Hours to Seconds:How Perus Largest Bank Achieves 90%Savings Through Mainframe Offloading of Real-Time DataJohnson Noel-Sr.Product Marketing Manager 2025 VervericaQuick Mainframe H。

15、Data Infra in a CompanyData Copy BronzeKafkaKafkaKafkaRedisClickHouseClickHouseIcebergIceberg SilverGoldETLETLData CopyData CopyData CopyData CopyData Copied in Each LayerComponents ComplexData Silos。

16、 2025 VervericaKartShoppe:Real-Time Feature Engineering with Ververica and Apache FlinkKarin Landers-Sr.Product Marketing Manager 2025 VervericaHello,KartShoppe!2025 VervericaData=Business Growth 202。

17、Flink 2.1:SQL Advances for Data+AIBridging real-time data processing and AI in Flink SQLLincoln Lee Alibaba CloudStaff Engineer,Apache Flink PMCLLM UDFIntegrate AI Analytics into Real-Time PipelineHu。

18、OriginCommunity GrowthDe-Facto StandardInnovation&Expansion200920192022202320242025Incubated Flink-Table-StoreFlink-Table-Store-ApachePaimonReal-Time Lake FormatAlibaba donatedFlink-CDC to Apache。

19、Building Unified Lakehouse for Large-scale Recommendation System With Apache Paimon Shuiqiang ChenTikTok Bigdata Engineer01 The development of TikTok Recommendation Model Architecture02 The need for 。

20、Apache Flink+DorisReal-Time Lakehouse SolutionChristine XuTech VP VeloDB01IntroductionWhat is Apache Doris02Lakehouse SolutionApache Flink+Paimon+Doris03Community Introduction What is Apache Doris01W。

21、Real-time Lakehouse ShopeeLuo LiShopee Data Infra0102Practice03OptimizationScenario04Future PlanThe Stream Scenario of Shopee01Building Data Warehouse Based on CDC DataClassic Lambda architecture,res。

22、Flink State ManagementA Journey from Core Primitives to Next-Generation Incremental ComputeYuan MEIDirector of Engineering Alibaba CloudApache Flink PMCFlink:Standard for Realtime ProcessingHighPerfo。

23、Scaling Real-Time Analytics in a Postgres-Native WorldTushar PednekarSynx Data Labs01CloudberryPetaByte Scale PostgreSQL02Synx DataOGs from the Big Data World03Apache Cloudberry&FlinkApache Cloud。

24、Charting New Territory:LinkedIns Early Bet onFlink Batch for Large-Scale WorkloadsVenkat Sowrirajan|Staff Engineer at LinkedInAbout MeVenkat Sowrirajan10+years building and scaling distributed data s。

25、Accelerating Intelligence:Unlocking the Power of Realtime AIBoyuan HuangProduct Director of Alibaba Cloud PAIBoyuan HuangProduct Director of Alibaba Cloud PAIProduct Director at Alibaba Cloud Intelli。

26、Real-Time Generative AI with Apache FlinkFrom Stream to SentenceDaren WongAmazon Web Services01Use CaseReal-time Football Commentary AI Case Study02ChallengesHow to solve it with Flink03DemoHow it wo。

27、Secret Sauce of Stream&Batch ConvergenceSanil Jain|Staff Engineer at LinkedIn2018LinkedInApache Samza 2019Managed Stream Processing Platform 2024Stream Batch Convergence2021Realtime ML infraApach。

28、Flink Agents:The Agentic AI Framework based on Apache FlinkXintong SongMayank JunejaStaff Software Engineer,Alibaba CloudSenior Product Manager,ConfluentAI Application TechniquesLarge-Language ModelG。