“有些人走着走着就散了。十几年前，当中美两国的工程师们都在热烈讨论Hadoop、Spark和开源社区时，他们仿佛站在同一个新大陆的海岸线上，共享着同一套工具和几乎一致的技术信仰。那是以技术为驱动、以效率为圭臬的黄金时代。彼时，中国的互联网巨头，如阿里 ...

在新一轮大数据技术的浪潮中，过去十年的演进为我们揭示了从离线批处理到AI驱动智能决策的巨大转变。这场变革不仅改变了企业与数据的关系，也重新定义了智能决策的可能性。自2008年MapReduce的问世以来，大数据技术经历了一个从“管道系统”到“神经系统”的蜕变。随着技术的不断迭代，数据处理的效率和灵活性不断提升，企业面临的挑战也愈加复杂。

“以史为镜，可以明得失。如果你站在2010年，看着MapReduce把TB级别的日志压进Hadoop，然后花上几个小时跑出一个分析报告，你或许会觉得：这，就是“数据处理”的终极形态了。如果你站在2015年，看着Spark用内存计算把作业时延从小时压到 ...

Just a decade ago, the enterprise IT push was to make Hadoop the platform for storage and analytics. At that time, cloud hesitancy was still looming for large on-prem organizations. Hadoop, no matter ...

This is a guest post by Dell Software executive Guy Harrison Without doubt, “big data” is the hottest topic in enterprise IT since cloud computing came to prominence five years ago. And the most ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market. In fact, today Hadoop is often synonymous with the term big data. Since ...

With the massive amount of data proliferating the Web, companies such as Google and many others are building new technologies to sort it all. Core to that movement is something called MapReduce, a ...

Last time I wrote about Hadoop, I talked about its challenge to traditional SQL-based databases. I left off with mentioning that some SQL proponents have compared Apache Hadoop to Linux 10 years ago.

One of the challenges of working with Hadoop environments has been maintaining the infrastruc­ture for big data projects. That’s where cloud makes things easier and, increas­ingly, has served as the ...