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| title: 大数据分析型数据仓库 |
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| <h4 class="index-title"><span>Apache Kylin™ 概览</span></h4> |
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| <p class="title_text"> Apache Kylin™是一个开源的、分布式的分析型数据仓库，提供Hadoop/Spark 之上的 SQL 查询接口及多维分析（OLAP）能力以支持超大规模数据，最初由 eBay 开发并贡献至开源社区。它能在亚秒内查询巨大的表。</p> |
| <p class="title_text"> Apache Kylin™ 令使用者仅需三步，即可实现超大数据集上的亚秒级查询。</p> |
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| <ol class="none-icon"> |
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| <span class="li-circle">1</span> |
| 定义数据集上的一个星形或雪花形模型 |
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| <span class="li-circle">2</span> |
| 在定义的数据表上构建cube |
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| <span class="li-circle">3</span> |
| 使用标准 SQL 通过 ODBC、JDBC 或 RESTFUL API 进行查询，仅需亚秒级响应时间即可获得查询结果 |
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| </ol> |
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| <p class="title_text">Kylin 提供与多种数据可视化工具的整合能力，如 Tableau，PowerBI 等，令用户可以使用 BI 工具对 Hadoop 数据进行分析。</p> |
| <p style="font-weight:bold;color:#87CEFF;text-decoration:underline;text-align:center;"> 👏👏 Kylin 5 已经发布, 请访问全新的 <a href="https://kylin.apache.org/5.0"> Kylin 5.0 官网</a>！ 👈 主要特性:</p> |
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| 全新的建模 Web 界面，简化用户操作 |
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| 全新升级的元数据和建模引擎，增加明细索引、可计算列、屏蔽列等特性 |
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| <span class="li-circle">3</span> |
| 即将到来的 Native 向量化计算引擎，可以提升查询性能一倍 |
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| <img id="diagram" src="{{ "/assets/images/kylin_diagram.png"| prepend: site.baseurl }}"> </div> |
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| <h4 class="index-title"><span> Kylin 是什么? </span></h4> |
| <img id="intro_logo" src="{{"/assets/images/kylin_logo.png" | prepend: site.baseurl }}"> |
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| <b>可扩展超快的基于大数据的分析型数据仓库: </b><br/> |
| <div class="indent" style="margin-top: 25px">Kylin 是为减少在 Hadoop/Spark 上百亿规模数据查询延迟而设计</div> |
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| <img width="30" src="{{"/assets/images/icon_index_hadoop.png" | prepend: site.baseurl }}"> |
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| <b>Hadoop ANSI SQL 接口: </b><br/> |
| <div class="indent" style="margin-top: 25px">作为一个分析型数据仓库(也是 OLAP 引擎)，Kylin 为 Hadoop 提供标准 SQL 支持大部分查询功能</div> |
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| <b>交互式查询能力: </b><br/> |
| <div class="indent" style="margin-top: 25px">通过 Kylin，用户可以与 Hadoop 数据进行亚秒级交互，在同样的数据集上提供比 Hive 更好的性能</div> |
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| <img width="30" src="{{"/assets/images/icon_index_cube.png" | prepend: site.baseurl }}"> |
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| <b>多维立方体（MOLAP Cube）: </b><br/> |
| <div class="indent" style="margin-top: 25px">用户能够在 Kylin 里为百亿以上数据集定义数据模型并构建立方体</div> |
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| <b>实时 OLAP：</b><br/> |
| <div class="indent">Kylin 可以在数据产生时进行实时处理，用户可以在秒级延迟下进行实时数据的多维分析。 </div> |
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| <img width="30" src="{{"/assets/images/icon_index_shape.png" | prepend: site.baseurl }}"> |
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| <b>与BI工具无缝整合:</b><br/> |
| <div class="indent" style="margin-top: 47px">Kylin 提供与 BI 工具的整合能力，如Tableau，PowerBI/Excel，MSTR，QlikSense，Hue 和 SuperSet</div> |
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| <b>其他特性:</b> <br/> |
| <ul class="indent"> |
| <li>Job管理与监控 </li> |
| <li>压缩与编码 </li> |
| <li>增量更新 </li> |
| <li>利用HBase Coprocessor</li> |
| <li>基于HyperLogLog的Dinstinc Count近似算法</li> |
| <li>友好的web界面以管理，监控和使用立方体 </li> |
| <li>项目及表级别的访问控制安全</li> |
| <li>支持LDAP、SSO </li> |
| </ul> |
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| <h4 class="index-title" style="margin-top:50px;"><span>谁在使用 Kylin？</span></h4> |
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| <!-- /container --> |
| </div> |
| <header> |
| <div class="container" > |
| <h4 class="index-title"><span>Kylin 生态圈</span></h4> |
| <div class="row" style="margin-top:40px;"> |
| <div class="col-sm-7 col-md-7" id="ecosystem"> |
| <h6> |
| <span class="circle-spot">Kylin 核心:</span> |
| </h6> |
| <p>Kylin 基础框架，包括元数据（Metadata）引擎，查询引擎，Job引擎及存储引擎等，同时包括REST服务器以响应客户端请求</p> |
| <h6> |
| <span class="circle-spot">扩展:</span> |
| </h6> |
| <p>支持额外功能和特性的插件</p> |
| <h6> |
| <span class="circle-spot">整合:</span> |
| </h6> |
| <p>与调度系统，ETL，监控等生命周期管理系统的整合</p> |
| <h6> |
| <span class="circle-spot">用户界面:</span> |
| </h6> |
| <p>在Kylin核心之上扩展的第三方用户界面</p> |
| <h6> |
| <span class="circle-spot">驱动:</span> |
| </h6> |
| <p>ODBC 和 JDBC 驱动以支持不同的工具和产品，比如Tableau</p> |
| </div> |
| <div class="col-sm-5 col-md-5"> <img id="core" src="{{"/assets/images/core.png"| prepend: site.baseurl }}"> </div> |
| </div> |
| <!-- /container --> |
| </div> |
| </header> |
| </section> |
| </main> |
