工具建设:数据分析工具怎么样加强查询速度
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">面对庞大的数据量,<span style="color: black;">怎样</span>优化<span style="color: black;">查找</span>效率,<span style="color: black;">供给</span>快速且准确的数据分析结果,是数据<span style="color: black;">制品</span>经理需要深入思考的问题。本文将探讨几种提<span style="color: black;">高挑</span>数据<span style="color: black;">查找</span>效率的策略,<span style="color: black;">帮忙</span><span style="color: black;">提高</span>用户体验,并为数据<span style="color: black;">制品</span>的设计与优化<span style="color: black;">供给</span><span style="color: black;">指点</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://q0.itc.cn/q_70/images03/20240813/6f54fed61eb8430aafb05fa68008eb37.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">近期</span>面试一个<span style="color: black;">朋友</span>的时候,聊到了他负责的大数据取数平台。平台的<span style="color: black;">重点</span>是<span style="color: black;">供给</span>给业务、分析师等<span style="color: black;">运用</span>,支持<span style="color: black;">她们</span>在现成报表<span style="color: black;">无</span><span style="color: black;">关联</span>数据时,快速<span style="color: black;">查找</span>和分析自己想要的数据。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">例如对dau做<span style="color: black;">各样</span>维度下钻分析,来定位数据<span style="color: black;">显现</span>波动的<span style="color: black;">原由</span>。<span style="color: black;">或</span>在业务复盘的时候,<span style="color: black;">查找</span>某种口径下各个业务线带来的收入。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">这位<span style="color: black;">朋友</span><span style="color: black;">重点</span>负责<span style="color: black;">制品</span>设计以及推广,但当问到<span style="color: black;">怎样</span><span style="color: black;">加强</span><span style="color: black;">查找</span>效率,以便给到用户更好的<span style="color: black;">查找</span>体验时,能聊出来的东西就比较少了。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">其实<span style="color: black;">做为</span>数据<span style="color: black;">制品</span>,尤其是偏工具的数据<span style="color: black;">制品</span>,应该对工具的<span style="color: black;">规律</span>有基本<span style="color: black;">认识</span>,<span style="color: black;">这般</span><span style="color: black;">能够</span><span style="color: black;">帮忙</span>自己更好的进行<span style="color: black;">制品</span>设计和规划。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">这篇就和<span style="color: black;">大众</span>聊一聊,当面对大数据量时,<span style="color: black;">咱们</span>有<span style="color: black;">那些</span><span style="color: black;">方法</span>来进行优化,从而给到用户更好的体验。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">1、</span>冷热数据 </p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">非常多</span>时候业务整体的数据量很大,但常用的热数据很可能只是其中一部分。<span style="color: black;">咱们</span><span style="color: black;">能够</span>基于<span style="color: black;">实质</span>的<span style="color: black;">运用</span>需要,只支持部分数据的<span style="color: black;">查找</span>,从而减<span style="color: black;">少许</span>据量,<span style="color: black;">加强</span><span style="color: black;">查找</span>效率。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">例如,<span style="color: black;">针对</span>视频APP<span style="color: black;">来讲</span>,<span style="color: black;">揭发</span><span style="color: black;">关联</span>的数据量<span style="color: black;">一般</span>都比<span style="color: black;">很强</span>,<span style="color: black;">大众</span>经常会<span style="color: black;">查找</span><span style="color: black;">有些</span>IP的“<span style="color: black;">揭发</span> -> 点击 -> 播放”的链路数据。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">可是对业务的<span style="color: black;">实质</span><span style="color: black;">查找</span><span style="color: black;">状况</span>做进一步分析就会<span style="color: black;">发掘</span>,<span style="color: black;">平常</span>需要关注并<span style="color: black;">查找</span>的IP<span style="color: black;">都数</span>都是<span style="color: black;">近期</span>比较热的IP,并不是所有的IP都需要做类似<span style="color: black;">查找</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">此时</span>就可以只支持这些比较热的IP的<span style="color: black;">查找</span>,当真的有用户需要<span style="color: black;">查找</span>其它IP的时候,再把数据加载进来。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">2、</span>抽样加速 </p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">在<span style="color: black;">实质</span>的数据<span style="color: black;">运用</span>过程中,有些分析不需要<span style="color: black;">得到</span>非常准确的数据结果,而是<span style="color: black;">能够</span>接受<span style="color: black;">必定</span>的误差。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">例如一个应用的dau<span style="color: black;">每日</span>都在大几千万,<span style="color: black;">咱们</span>要分析一下<span style="color: black;">近期</span><span style="color: black;">一月</span>dau的变化趋势。<span style="color: black;">此时</span>其实就不需要非常精确,<span style="color: black;">每日</span>的结果存在十几<span style="color: black;">或</span>几十的误差,对<span style="color: black;">最后</span>分析<span style="color: black;">无</span>什么影响。<span style="color: black;">此时</span>就<span style="color: black;">能够</span>对数据进行抽样,既满足的业务<span style="color: black;">需要</span>,又加快了<span style="color: black;">查找</span>速度,节省了存储资源。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3、</span>预聚合 </p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">相信<span style="color: black;">大众</span><span style="color: black;">必定</span><span style="color: black;">晓得</span>28法则,在<span style="color: black;">运用</span>数据的时候<span style="color: black;">一样</span><span style="color: black;">亦</span>存在类似的<span style="color: black;">状况</span>。例如一个指标有A、B、C、D、E一共5个维度,但<span style="color: black;">运用</span>的时候并不是每种维度组合都会用到,可能<span style="color: black;">通常</span>只会用到ABC和ABCD的组合。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">这种<span style="color: black;">状况</span>下<span style="color: black;">咱们</span>就<span style="color: black;">能够</span>进行预聚合,提前把ABC和ABCD的结果计算好,而不是用户<span style="color: black;">选取</span>之后从头<span style="color: black;">起始</span>计算,从而大大<span style="color: black;">加强</span><span style="color: black;">查找</span>速度。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">咱们</span><span style="color: black;">非常多</span>的报表<span style="color: black;">便是</span>这种<span style="color: black;">状况</span>,用户每次来<span style="color: black;">查找</span>的<span style="color: black;">状况</span>相对固定,<span style="color: black;">运用</span>预聚合就<span style="color: black;">能够</span>大幅提<span style="color: black;">有效</span>率。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">除了以上<span style="color: black;">平常</span>的<span style="color: black;">有些</span>方式外,还有<span style="color: black;">有些</span>其它的方式,例如bucket加速、任务拆分等等。总之,<span style="color: black;">针对</span>一个<span style="color: black;">查找</span>工具<span style="color: black;">来讲</span>,<span style="color: black;">查找</span>速度对用户的体验影响非常打。<span style="color: black;">做为</span>数据<span style="color: black;">制品</span>,要明白<span style="color: black;">查找</span>的基本原理,并且能结合业务<span style="color: black;">实质</span><span style="color: black;">状况</span>给出可行的<span style="color: black;">制品</span><span style="color: black;">方法</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">本文由 @暮雪云然 原创发布于人人都是<span style="color: black;">制品</span>经理。未经作者许可,禁止转载</p>
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