随着云时代的来临,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。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。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;不是因果关... more
Publishes | Twice weekly | Episodes | 305 | Founded | 5 years ago |
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Language | Categories | PhysicsTechnologyScience |
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #233 |
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宇量数据 launched 5 years ago and published 305 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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