Data Conference Databasea Query.Farm index
Conference
Community Over Code (formerly ApacheCon) Database
Dates
Jul 29, 2022 – Jul 31, 2022
Venue
—
Place
—
Format
Online
Status
Past
Attendance
—
Website
apachecon.com
Recorded
7 sponsors · 61 speaker appearances
Notes
Speakers: keynotes + Big Data/data track talks only; the event covers all Apache projects. Online, organized with ALC-Beijing. Recorded: keynote sessions (panels skipped) and the Big Data track; other data-related tracks (Streaming, Workflow/Data Process) not recorded. Affiliations from session-page bios; Chinese names romanized as given in the bios.

Ticket prices

TicketPriceValid untilNotesSource
Online registrationCN¥0—Free; optional personal donation level CNY 199apachecon.com

Sponsors 7

Title / headline 1

Platinum 2

Silver 1

Media 1

Speakers and talks 61

SpeakerCompanyRoleTalkLinks
Brian BehlendorfOpen Source Security Foundation (OpenSSF)KeynoteWhat We All Need To Do Together To Secure The Open Source Software Supply Chain—
Danese CooperInnerSource CommonsKeynoteInnerSource and the Apache Way: How to learn Open Source—
Dongjin ZhangBaiduKeynoteHistory and technical analysis of the real-time data warehouse Apache Doris—
Frank ZhaoEast China Normal UniversityKeynoteNumbers in open source—
Justin Mclean—KeynoteLearning the Apache Way through the ASF Incubator—
Linjiang LianSelectDBKeynoteThe road from Apache Doris open source project to product commercialization exploration—
Mark Thomas—KeynoteBrand Management - An Introduction—
Miya Liu—KeynoteContribute to Free Education and Youth Development in Open Community—
Ren XudongHuaweiKeynoteFocus on Basic Open Source Software and Promote Open Source Development—
Rich Bowen—KeynotePractical Steps to Encourage Community Growth—
Shane CoughlanOpenChain ProjectKeynoteOpenChain Project Introduction—
Shouqun LuChina Open Source Software Promotion Alliance (COPU)KeynoteCongratulations to the ApacheCon Asia (Asia) Online Conference—
Xia XiaoyaEast China Normal UniversityKeynoteOpen source communities are the best social universities—
Yipeng LiuTUNA (Tsinghua University)KeynotePower TUNA—
Andreas WombacherAurelius Enterprise B.VSpeakerAn extension of Apache Atlas’ data model and an alternative open source user interface—
Anmol ChaturvediInformaticaSpeakerInteractive data engineering workload execution using Livy session on Kubernetes cluster—
Chenjie Zhao—SpeakerThe practice and thinking of big data Python ecology in transmitting wisdom education—
Chufeng GaoAlibaba CloudSpeakerDolphinscheduler + Notebook open-source Big data Studio—
Dunith DhanushkaStarTreeSpeakerBuilding a real-time analytics dashboard with Apache Kafka, Apache Pinot, and Streamlit—
Fei WangeBaySpeakerEBay built the Unified & ServerLess Spark gateway practice based on Apache Kyuubi(Incubating)—
Gian MerlinoImplySpeakerTales at Scale: Analytics at 1000 QPS and Beyond—
Haripriya Bendapudi—SpeakerInteractive data engineering workload execution using Livy session on Kubernetes cluster—
Huicheng SongUberSpeakerLarge scale migration to Parquet in Uber—
Jiajun XieByteDanceSpeakerMulti-engine virtual column technology based on Apache Calcite—
Jiayi JinShopeeSpeakerApache Druid cloud native architecture evolution—
Jingcun ZhangJiangsu Chuanzhi Education TechnologySpeakerThe practice and thinking of big data Python ecology in transmitting wisdom education—
Jingsong LiAlibaba CloudSpeakerFlink Table Store: Streaming data warehouse architecture and scenario—
Karin Wolok—SpeakerBuilding a real-time analytics dashboard with Apache Kafka, Apache Pinot, and Streamlit—
Ke Sun—SpeakerAn off-line data discovery method based on consanguinity—
Kelu TaoByteDanceSpeakerHow can I use Apache Seatunnel to simplify data synchronization—
Kelu TaoByteDanceSpeakerFlink/Spark cloud native practices based on Zeppelin—
Kota UenishiPreferred NetworksSpeakerApache Ozone behind Simulation and AI industries—
Lei ZouHuyaSpeakerHuya application metadata platform practice based on graph data—
Leibo Wang—SpeakerSupport Customized Kubernetes Schedulers: Provides Customized scheduling capabilities for Spark on Kubernetes—
Mehakmeet SinghClouderaSpeakerCapturing per thread statistics for a job - Thread-level IOStatistics - HADOOP-17461—
Mukul Kumar Singh—SpeakerApache Ozone: Multi-Protocol aware system handles both Files and Objects efficiently—
Mukund ThakurClouderaSpeakerHadoop Vectored IO: your data just got faster!—
Mukund ThakurClouderaSpeakerFine grained authorization to Cloud stores using Apache Ranger—
Paul BrebnerInstaclustrSpeakerScaling Open Source Big Data Cloud Applications is Easy/Hard—
Praneet Sharma—SpeakerInteractive data engineering workload execution using Livy session on Kubernetes cluster—
Quanlong HuangClouderaSpeakerWhat's new in Apache Impala 4.x—
Rakesh RadhakrishnanClouderaSpeakerDisaster Recovery in Apache Ozone—
Rakesh RadhakrishnanClouderaSpeakerApache Ozone: Multi-Protocol aware system handles both Files and Objects efficiently—
Sadanand ShenoyClouderaSpeakerDisaster Recovery in Apache Ozone—
Shuai DiWeBankSpeakerHow does Linkis provide computing governance capabilities for diversified big data computing and storage engines—
Shuai HanByteDanceSpeakerAn off-line data discovery method based on consanguinity—
Weiwei ZhangShenzhen Lala Technology (Lalamove)SpeakerBig data infrastructure system evolution—
Xiaolin HaMeituanSpeakerHBase improvements and practices in Meituan—
Xiaoxiang YuKyligenceSpeakerEvolution of Apache Kylin technology -- second half of MOLAP technology—
Yan LiuClouderaSpeakerApache Hive 4.0 Unreleased Features—
Yan LiuClouderaSpeakerSharing of recent progress and practices in Apache Ozone—
Yi ChenClouderaSpeakerSharing of recent progress and practices in Apache Ozone—
Yikun JiangHuaweiSpeakerSupport Customized Kubernetes Schedulers: Provides Customized scheduling capabilities for Spark on Kubernetes—
Yongqiang YangSelectDBSpeakerOptimization implementation and future planning of real-time writing to Apache Doris via Flink—
Yunqing MoTencentSpeakerOptimization and practice of Apache InLong in Tencent Cloud—
Yuqi GuArmSpeakerBIGTOP 3.0 with the upgraded Mpack: New era of BigData Distribution—
Zhaojing YuByteDanceSpeakerBytedance data Lake table optimization management service based on Apache Hudi—
Zheng Wang—SpeakerFlink/Spark cloud native practices based on Zeppelin—
Zhengguo YangBaiduSpeakerNew features for Apache Doris 1.x version and future plans for the cloud native era—
Zhongjia WeiByteDanceSpeakerHow to use the Cloud Shuffle Service in the Spark scenario of Bytedance—
Zhun WangXiaomiSpeakerSpark's application practice in Xiaomi—

Sources