Data Conference Databasea Query.Farm index
Conferences / Community Over Code (formerly ApacheCon)

Community Over Code Asia 2023

Aug 18–20, 2023 · Park Plaza Beijing Science Park, Beijing, China

Conference
Community Over Code (formerly ApacheCon) Database
Dates
Aug 18, 2023 – Aug 20, 2023
Venue
Park Plaza Beijing Science Park
Place
Beijing, China
Format
Hybrid
Status
Past
Attendance
—
Website
apachecon.com
Recorded
13 sponsors · 75 speaker appearances
Notes
Speakers: keynotes + Big Data/data track talks only; the event covers all Apache projects. In person in Beijing with live broadcast online; organized with ALC-Beijing; registration on BagEvent. Data tracks recorded: Data Lake & Data Warehouse, Data Storage & Computing, DataOps, OLAP & Data Analysis, Streaming, plus keynote track. Names/affiliations from English session-page bios (machine-translated; garbled employer names left null; 'Chen Zihao' for the Xiaomi Flink talk and 'Ni Ze' for RSQLDB taken from the Chinese names listed). Sponsors from BagEvent logo wall (logos identified visually).

Ticket prices

TicketPriceValid untilNotesSource
Student/Committer single-day ticketCN¥199—bagevent.com
Single-day ticketCN¥299—bagevent.com
Student/Committer three-day ticketCN¥399—bagevent.com
Three-day ticketCN¥599—bagevent.com
Three-day individual sponsorship ticketCN¥1,299—Single-day individual sponsorship ticket CNY 999bagevent.com
Community Leadership Workshop training packageCN¥6,999—Includes Aug 17 closed-door training + 3-day ticketbagevent.com

Sponsors 13

Platinum 4

Gold 5

Silver 1

Bronze 1

Media 1

Speakers and talks 75

SpeakerCompanyRoleTalkLinks
Chen GuangshengWeBankKeynoteThe application and innovation of cloud-native technology in the digital finance era—
Chen YangMicrosoftKeynoteThe Power of Community—
Craig RussellApache Software FoundationKeynoteThe ASF: Past and Future—
Craig RussellApache Software FoundationKeynoteThe Future of Open Source: Challenges and Opportunities—
Hu ZongtangChina MobileKeynoteA new communications base for digital infrastructure - mobile cloud Message Queue Matrix—
Justin McleanDatastratoKeynoteThe Apache Way: Building Community and Longevity—
Justin McleanDatastratoKeynoteThe Future of Open Source: Challenges and Opportunities—
Li BenchaoByteDanceKeynoteIs contributing to open source difficult?—
Ma Ruyue—KeynoteIntroduction to Apache Doris 2.0—
Rich BowenAmazon Web ServicesKeynoteThe Future of Open Source: Challenges and Opportunities—
Rich BowenAmazon Web ServicesKeynoteTalking with management about open source—
Richard Lin—KeynoteCommunity AI Mega-Models are Coming: The Power of Challenges and Opportunities in Open Source Governance and Developer Relations.—
tisonStreamNativeKeynoteCommunity Sustainability: How can Open source communities be sustainable—
Trista PanSphereExKeynoteExploring the Value of Self-Growth and Career Development with the Power of Open-Source Ecosystem—
Wang FengAlibaba CloudKeynoteAlong the way, Alibaba Cloud's big data has gone from embracing open source to leading the open-source community.—
Wei Jianfeng—KeynoteHuman wakefulness: The deepest motivation for open source—
Willem JiangByteDanceKeynoteThe Future of Open Source: Challenges and Opportunities—
alexeyVervericaSpeakerState of Scala API in Apache Flink—
Bai SongHangzhou Sulan TechnologySpeakerFlinkSQL's field parentage and data permission solution—
Chen YiClouderaSpeakerData Security: How Apache Ozone Ensures Storage and Access Security of Data—
Chen Zhengyu—SpeakerFlink K8S Operator AutoScaling—
Chen Zhuoyu—SpeakerIn-depth analysis of Ziroom's large-scale On Kubernetes real-time computing production practice based on Apache StreamPark—
Chen ZihaoXiaomiSpeakerConstruction practice of Xiaomi Flink real-time computing platform—
Cheng XinAlibaba CloudSpeakerInterconnection and integration between Apache DolphinScheduler and cloud object storage—
Dai LidongBeluga Open SourceSpeakerApplication of Apache SeaTunnel, the next generation of ultra-high performance big data integration tool, in the data lake scenario—
Gang WuYunqi TechSpeakerInnovative lakehouse design atop Apache Iceberg, Apache Arrow and Apache Parquet—
Gao ChufengAlibaba CloudSpeakerAlibaba Cloud Apache DolphinScheduler indicator system sharing—
Gao JunBeluga Open SourceSpeakerNext generation data integration platform Apache SeaTunnel—
Huang QuanlongClouderaSpeakerApache Impala 4.2 & 4.3: A Glimpse of New Features—
Jin JiayiShopeeSpeakerApache Druid 26.x after Open Source for 10 years—
John Del CastilloNetAppSpeakerHow increasing partition size in Apache Cassandra can reduce disk usage by over 30%—
Kaustubh BeedkarIndian Institute of Technology DelhiSpeakerFederated Cross-platform SQL with Apache Wayang—
Li JinsongAlibaba CloudSpeakerApache Paimon Stream data Lake: CDC feed lake and stream read—
Liu KuneBaySpeakerApache Arrow DataFusion: Vectorized execution framework for maximum performance—
Min ZhongyuanByteDanceSpeakerPractice of building real-time data lake based on Flink—
Mu ChunjinUnicom Digital TechnologySpeakerChina Unicom's large-scale real-time computing production practice based on Apache StreamPark—
Ni ZeAlibaba CloudSpeakerRSQLDB Message queue-based flow database—
Ovilia—SpeakerApache ECharts' Package Size Revolution powered by SSR and Lightweight Client Runtime—
Pan ChengNetEaseSpeakerSPARK CLOUD NATIVE PRACTICE - POWERED BY APACHE KYUUBI & CELEBORN(INCUBATING)—
Pan ZhenxuanAnt GroupSpeakerBuild a stream graph processing system based on Apache Calcite/Gremlin—
Ruan HangAlibaba CloudSpeakerReal-Time Data Integration Practice Based on Flink CDC at Alibaba Cloud—
Sadanand ShenoyClouderaSpeakerResilient Data: Exploring Replication and Recovery in Apache Ozone—
Shi ShaofengKyligenceSpeakerHow to boost a cloud-native lakehouse with 2x performance—
Song XintongAlibaba CloudSpeakerApache Flink stream batch adaptive Shuffle—
Sumit AgrawalClouderaSpeakerDeep dive into resource manageability in ozone storage—
Tan YuxinAlibaba CloudSpeakerApache Flink stream batch adaptive Shuffle—
Tian Chao—SpeakerHow to use Apache SeaTunnel to quickly access new data sources—
Wang ChengweiXiaomiSpeakerXiaomi HDFS data governance practices and evolution—
Wang EnceByteDanceSpeakerBytedance based on the Parquet format of cost reduction and efficiency practice—
Wang HepingWeBankSpeakerBuild data applications quickly and efficiently based on Apache Linkis—
Wang HualeiPostal Savings Bank of ChinaSpeakerAPACHE LINKIS data processing practice in lake-silo architecture—
Wang XiaoyuChina MobileSpeakerChina Mobile Wutong Cloud native analytical database architecture sharing—
Wang XingjieUnicom Digital TechnologySpeakerThe implementation of DataOps in Unicom Digital Division builds the integrated capability of data R&D and operation—
Wang XixuShence Network Technology (Sensors Data)SpeakerApache Kudu in the application and practice of divine policy—
Wang Yongchen—SpeakerApache Doris in the far technology application practice—
Wang YumingeBaySpeakerSpark SQL Shuffle Join Improvement at eBay—
Wang ZhengByteDanceSpeakerPractice of building real-time data lake based on Flink—
Wei CheneBaySpeakerStreaming Apache Kudu within Apache Flink—
Wei ZhongjiaByteDanceSpeakerSmooth Migration Practice from MapReduce to Spark at ByteDance—
Wei ZuoXiaomiSpeakerOLAP Practice Based on Apache Doris at Xiaomi—
Xi ShihaoLixiang AutomotiveSpeakerApplication of Linkis in Lixiang Automotive—
Xiao JiebaoXiaomiSpeakerThe practice and optimization of data Lake Iceberg in Xiaomi—
Xiao KangSelectDBSpeakerLogs are stored and analyzed in silos—
Xie JiajunByteDanceSpeakerBest practices for multi-engine metrics management based on Apache Calcite—
Xiong MuByteDanceSpeakerBytedance 100 billion file HDFS clustering practice—
Xu QingByteDanceSpeakerBytedance based on the Parquet format of cost reduction and efficiency practice—
Xuwei FuYunqi TechSpeakerInnovative lakehouse design atop Apache Iceberg, Apache Arrow and Apache Parquet—
Yan LiuClouderaSpeakerChallenges and Solutions on building Realtime Data warehousing with Apache Flink , Apache Hive and Apache Iceberg—
Yu XiaoxiangKyligenceSpeakerKylin 5: Modern big data analytics platform—
Yuqi GuArmSpeakerOpenEuler and Bigtop with Ambari : Empower Data Lake in the real world—
Zhang Duo—SpeakerWhat's new in the recent and upcoming HBase releases—
Zhang QianqiongShence Network Technology (Sensors Data)SpeakerApache Impala's latest practice in the Visionary Data Warehouse—
Zheng JunyuanXiaomiSpeakerApplication and practice of data integration technology in Xiaomi—
Zhou KeyongAlibaba CloudSpeakerApache Celeborn(Incubating): Make Spark and Flink faster, more stable and more resilient—
Zhu JiangByteDanceSpeakerBig data row and column mixed permissions fine management practice—

Sources