Podcast Overview
<p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal"><span> 随着</span><a target="_blank" style="color:#4990E2;text-decoration:none;">云时代</a><span>的来临，大数据(Big data)也吸引了越来越多的关注。大数据(Big data)通常用来形容一个公司创造的大量非结构化和半结构化数据，这些数据在下载到关系型数据库用于分析时会花费过多时间和金钱。大数据分析常和云计算联系到一起，因为实时的大型数据集分析需要像MapReduce一样的框架来向数十、数百或甚至数千的电脑分配工作。</span><span>不是随机样本，而是全体数据:在大数据时代，我们可以分析更多的数据，有时候甚至可以处理和某个特别现象相关的所有数据，而不再依赖于随机采样</span>。<span>不是精确性，而是混杂性:研究数据如此之多，以至于我们不再热衷于追求精确度;之前需要分析的数据很少，所以我们必须尽可能精确地量化我们的记录，随着规模的扩大，对精确度的痴迷将减弱;拥有了大数据，我们不再需要对一个现象刨根问底，只要掌握了大体的发展方向即可，适当忽略微观层面上的精确度，会让我们在宏观层面拥有更好的洞察力;</span><span>不是因果关系，而是相关关系:我们不再热衷于找因果关系，寻找因果关系是人类长久以来的习惯，在大数据时代，我们无须再紧盯事物之间的因果关系，而应该寻找事物之间的相关关系;相关关系也许不能准确地告诉我们某件事情为何会发生，但是它会提醒我们这件事情正在发生。</span><br /></p><p style="font-size:16px;line-height:30px;font-family:Helvetica, Arial, sans-serif;color:#333333;font-weight:normal;text-align:justify;" data-flag="normal"><span><span>如因作品内容，版权和其它问题请与本播主联系的，请在30日内进行。</span><br /></span></p><p style="font-size:16px;line-height:30px;font-family:Helvetica, Arial, sans-serif;color:#333333;font-weight:normal;text-align:justify;" data-flag="normal"><span><span> 免责声明：本书院为非营利性机构。以方便网友为主，仅供学习研究。<br />内容由热心网友提供和网上收集，不保留版权。若侵犯了您的权益，来信即刪。srn2188@sina.com<br /><br /></span></span></p>
Language
🇨🇳
Publishing Since
3/2/2020
1 verified contact email on file for 宇量数据
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
December 10, 2023
知识最多、含金量最高的42本书二
December 5, 2023
知识最多、含金量最高的42本书一
November 11, 2023
“富裕”背后的成功定律
305 total episodes available
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Frequently asked questions
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- What is 宇量数据?
<p style="color:#333333;font-weight:normal;font-size:16px;line-height:30px;font-family:Helvetica,Arial,sans-serif;hyphens:auto;text-align:justify;" data-flag="normal"><span> 随着</span><a target="_blank" style="color:#4990E2;text-decoration:none;">云时代</a><span>的来临，大数据(Big data)也吸引了越来越多的关注。大数据(Big data)通常用来形容一个公司创造的大量非结构化和半结构化数据，这些数据在下载到关系型数据库用于分析时会花费过多时间和金钱。大数据分析常和云计算联系到一起，因为实时的大型数据集分析需要像MapReduce一样的框架来向数十、数百或甚至数千的电脑分配工作。</span><span>不是随机样本，而是全体数据:在大数据时代，我们可以分析更多的数据，有时候甚至可以处理和某个特别现象相关的所有数据，而不再依赖于随机采样</span>。<span>不是精确性，而是混杂性:研究数据如此之多，以至于我们不再热衷于追求精确度;之前需要分析的数据很少，所以我们必须尽可能精确地量化我们的记录，随着规模的扩大，对精确度的痴迷将减弱;拥有了大数据，我们不再需要对一个现象刨根问底，只要掌握了大体的发展方向即可，适当忽略微观层面上的精确度，会让我们在宏观层面拥有更好的洞察力;</span><span>不是因果关系，而是相关关系:我们不再热衷于找因果关系，寻找因果关系是人类长久以来的习惯，在大数据时代，我们无须再紧盯事物之间的因果关系，而应该寻找事物之间的相关关系;相关关系也许不能准确地告诉我们某件事情为何会发生，但是它会提醒我们这件事情正在发生。</span><br /></p><p style="font-size:16px;line-height:30px;font-family:Helvetica, Arial, sans-serif;color:#333333;font-weight:normal;text-align:justify;" data-flag="normal"><span><span>如因作品内容，版权和其它问题请与本播主联系的，请在30日内进行。</span><br /></span></p><p style="font-size:16px;line-height:30px;font-family:Helvetica, Arial, sans-serif;color:#333333;font-weight:normal;text-align:justify;" data-flag="normal"><span><span> 免责声明：本书院为非营利性机构。以方便网友为主，仅供学习研究。<br />内容由热心网友提供和网上收集，不保留版权。若侵犯了您的权益，来信即刪。srn2188@sina.com<br /><br /></span></span></p> - How often does this podcast release new episodes?
This podcast updates inactive.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
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