Apache CarbonData学习资料汇总

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CarbonData Learning Materials

1. introduction

Apache CarbonData is an indexed columnar data store solution for fast analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.

• 1.1 官网： http://carbondata.apache.org
• 1.2 Github: https://github.com/apache/carbondata.
• 1.3 CarbonData cwiki: https://cwiki.apache.org/confluence/display/CARBONDATA/

2.Vedio

• 2.1 2018实时大数据Meetup——Spark、Flink、CarbonData的技术与实践,2018-09-08 09:30 - 12:20: http://www.itdks.com/eventlist/detail/2599.

• 2.2 Open Sourcing CarbonData, a distributed global co- operation, development and success story, 2018-10-20 14:10-14:50(2018中国开源年会 COSCon’18):

  • https://www.itdks.com/dakalive/detail/17003.
  • https://v.qq.com/x/page/c0797395o2n.html

• 2.3 华为云大数据存储技术创新-CarbonData解密及实践,2018-04-22 15:40-16:20: http://www.itdks.com/dakalive/detail/11395

• 2.4 Apache CarbonData成长故事, 2017-11-18 14:00-14:30: http://www.itdks.com/dakalive/detail/7727

• 2.5 Apache Carbondata: An Indexed Columnar File Format for Interactive Query by Jacky Li/Jihong Ma, Spark summit EAST 2017: https://www.youtube.com/watch?v=lhsAg2H_GXc.

• 2.6 Introducing Apache CarbonData : A new hadoop-native file format for faster data analysis, O’Reilly Open Source Convention: OSCON, May 16 - 19, 2016: https://www.youtube.com/watch?v=VEckmJuU47g

• 2.7 Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL: https://www.youtube.com/watch?v=yya8-GzRW5M

3.Documentation

• 3.1 Spark、Flink、CarbonData 技术实践最佳案例解析: https://www.infoq.cn/article/spark-flink-carbondata-best-practice

• 3.2 [单表千亿电信大数据场景，使用Spark+CarbonData替换Impala案例: https://my.oschina.net/u/4029686/blog/2878526?from=groupmessage

• 3.3 Apache顶级项目CarbonData应用实践与2.0新技术规划介绍: https://www.sohu.com/a/193921606_470008

• 3.4 CarbonData+Spark SQL的应用实践和调优经验分享:

  • https://www.sohu.com/a/190681267_470008,
  • InfoQ Link: https://www.infoq.cn/article/2017%2F09%2FCarbonData-Spark-huawei

• 3.5 深度访谈：华为开源数据格式CarbonData项目，实现大数据即席查询秒级响应: AI前线 WeChat Link

• 3.6 Apache CarbonData:大数据生态一种新的高性能数据格式: https://my.oschina.net/u/3156280/blog/808506

4.Slides

• 4.1 Realtime BigData BeiJing Meetup(8th Sep,2018):
  • Easy, Scalable, Fault-tolerant stream processing with Structured Streaming-TD
  • CarbonData技术原理及使用介绍-蔡强
  • 美团点评Flink实践与应用-孙梦瑶
  • 智能流计算Flink_Spark在华为云CloudStream中的应用实践-时金魁
• 4.2 Apache CarbonData Shanghai Meetup PPT (2nd Sep,2017)
  • Spark SQL_ Past, Present and Future_范文臣
  • CarbonData应用实践和未来规划_李昆
  • Cost-Based Optimizer Framework for Spark SQL_王振华
  • CarbonData Partition 功能介绍与上汽集团 CarbonData实践分享_曹鲁
• 4.3 China Open Source Conference ShenZhen(20 Oct. 2018)
  • Apahce_CarbonData_Open_Source_Journey_of_Becoming_Top_Level_Project_Raghunandan_S
• 4.4 Apache CarbonData Beijing Meetup PPT (29th Oct, 2016)
  • CarbonData_An Indexed Columnar File Format For Interactive Query
• 4.5 Spark Summit East 2017-Apache CarbonData (8th Feb,2017)
  • Apache CWiki Link

详细请见：https://github.com/xubo245/CarbonDataLearning/tree/master/docs/slides/

5.Refernce

• 5.1 https://github.com/xubo245/CarbonDataLearning
• 5.2 https://github.com/QiangCai/carbondata_guide
• 5.3 Apache CarbonData 中文文档 - 过往记忆