site_config/home.jsx

export default {
  'zh-cn': {
    brand: {
      brandName: 'Apache CarbonData',
      briefIntroduction: '百亿数据级秒级响应的高性能融合数据存储',
      buttons: [
        {
          text: '立即开始',
          link: '/zh-cn/docs/1.2.1/user_doc/quick-start.html',
          type: 'primary',
        },
        {
          text: '查看GitHub',
          link: 'https://github.com/apache/carbondata',
          type: 'normal',
        },
      ],
      versionNote: {
        text: 'V1.1.0 版本说明',
        link: 'https://github.com/apache/carbondata/releases/tag/1.1.0',
      },
      releaseDate: '2019年08月05日发布',
    },
    introduction: {
      title: '百亿数据级秒级响应的高性能融合数据存储解决方案',
      desc: '一份数据同时支持多种大数据应用场景，通过丰富的索引技术、字典编码、列存等特性提升性能，百亿数据级秒级响应，与大数据生态Apache Hadoop、Apache Spark等无缝集成。',
      img: '/img/archdiagram_zh.png',
    },
    features: {
      title: '特性一览',
      list: [
        {
          img: '/img/ha.png',
          title: '强一致性',
          content: '流式入库、数据更新、异步建索引、合并小文件等数据管理和优化操作都支持ACID事务，支持边处理，边查询，并发操作下数据强一致',
        },
        {
          img: '/img/easyuse.png',
          title: '高性能',
          content: '支持多维索引、二级索引、物化视图和SQL改写，针对PB级数据实现高性能即席查询，时间序列自动Rollup，百倍性能提升',
        },
        {
          img: '/img/scene.png',
          title: '丰富的生态',
          content: '可通过熟悉的Spark、Flink、Presto、Hive、TensorFlow、Pytorch等大数据和AI引擎访问同一份数据，100%兼容社区接口',
        },
        {
          img: '/img/scaleout.png',
          title: '高扩展性',
          content: '通过索引+存算分离架构，使基于HDFS和对象存储上构建高性能湖仓系统成为可能，存储和计算弹性伸缩，高性价比',
        },
      ],
    },
    events: {
      title: '事件 & 新闻',
      list: [
        {
          img: '/img/meet/linkinmeetup.jpeg',
          title: 'Apache CarbonData Linkin 宣讲会',
          content: 'Apache CarbonData Linkin 宣讲会',
          dateStr: '2020-05-26',
          link: '/zh-cn/blog/live_online_2020_05_26.html',
        },
        {
          img: '/img/meet/2018meetup.jpeg',
          title: '2018实时大数据北京Meetup',
          content: 'Apache CarbonData联合Spark, Flink在北京成功举行Meetup。',
          dateStr: '2019-12-13',
          link: '/zh-cn/blog/meetup_2019_12_08.html',
        },
        {
          img: '/img/meet/2018hangzhoumeetup.jpeg',
          title: 'Apache CarbonData 第一次Meetup',
          content: 'Apache CarbonData 第一次Meetup在杭州成功举行。',
          dateStr: '2018-7-27',
          link: '/zh-cn/blog/meetup_2019_10_26.html',
        },
        {
          img: '/img/architecture.jpg',
          title: '一个分布式易扩展的可视化DAG工作流任务调度系统',
          content: '一个分布式易扩展的可视化DAG工作流任务调度系统',
          dateStr: 'May 12nd，2018',
          link: '/zh-cn/blog/architecture-design.html',
        },
        {
          img: '/img/review_img4.png',
          title: 'CarbonData 开发者大会在北京成功举行',
          content: 'CarbonData 开发者大会在北京成功举行',
          dateStr: 'May 12nd，2018',
          link: '/zh-cn/development/architecture-design.html',
        },
      ],
    },
    ourusers: {
      title: '我们的用户',
      list: [
        {
          img: '/img/ourusers/yidong.png',
        },
        {
          img: '/img/ourusers/dianxin.png',
        },
        {
          img: '/img/ourusers/liantong.png',
        },
        {
          img: '/img/ourusers/huawei.png',
        },
        {
          img: '/img/ourusers/baidu.png',
        },
        {
          img: '/img/ourusers/intel.png',
        },
        {
          img: '/img/ourusers/antian.png',
        },
        {
          img: '/img/ourusers/boyan.png',
        },
        {
          img: '/img/ourusers/dazhong.png',
        },
        {
          img: '/img/ourusers/dbs.png',
        },
        {
          img: '/img/ourusers/dingxiangyuan.png',
        },
        {
          img: '/img/ourusers/dtac.png',
        },
        {
          img: '/img/ourusers/fiberhome.png',
        },
        {
          img: '/img/ourusers/gzyh.png',
        },
        {
          img: '/img/ourusers/hengan.png',
        },
        {
          img: '/img/ourusers/hulu.png',
        },
        {
          img: '/img/ourusers/inmobi.png',
        },
        {
          img: '/img/ourusers/jsc.png',
        },
        {
          img: '/img/ourusers/jtyh.png',
        },
        {
          img: '/img/ourusers/lujinsuo.png',
        },
        {
          img: '/img/ourusers/mingluo.png',
        },
        {
          img: '/img/ourusers/pingan.png',
        },
        {
          img: '/img/ourusers/renzixing.png',
        },
        {
          img: '/img/ourusers/rongyao.png',
        },
        {
          img: '/img/ourusers/shangqi.png',
        },
        {
          img: '/img/ourusers/shangrong.png',
        },
        {
          img: '/img/ourusers/suning.png',
        },
        {
          img: '/img/ourusers/talkingdata.png',
        },
        {
          img: '/img/ourusers/teland.png',
        },
        {
          img: '/img/ourusers/telekom.png',
        },
        {
          img: '/img/ourusers/toutiao.png',
        },
        {
          img: '/img/ourusers/walmart.png',
        },
        {
          img: '/img/ourusers/wangsu.png',
        },
        {
          img: '/img/ourusers/wst.png',
        },
        {
          img: '/img/ourusers/xiaohongshu.png',
        },
        {
          img: '/img/ourusers/xiechengyilong.png',
        },
        {
          img: '/img/ourusers/yidong.png',
        },
        {
          img: '/img/ourusers/yiduyun.png',
        },
        {
          img: '/img/ourusers/yiqi.png',
        },
        {
          img: '/img/ourusers/vodaf.png',
        }
      ],
    },
    userreview: {
      title: '用户评论',
      list: [
        {
          img: '/img/xdf-logo.jpeg',
          review: '祝贺CarbonData成为Apache顶级项目。',
          name: '—— XXX公司XXCEO XXX',
        },
      ],
    },
  },
};