📜  云计算与 Hadoop 的区别

📅  最后修改于: 2021-09-16 10:23:28             🧑  作者: Mango

为云计算构建基础设施占全球所有 IT 支出的近三分之一。云计算在 IT 领域发挥着重要作用,然而,另一方面,如今组织开始大规模使用 Hadoop 来存储和执行对不断增加的数据大小的操作。

云计算与 Hadoop

云计算:
通过互联网提供的存储、网络、数据库、服务器等计算服务被称为云计算。它被广泛使用,因为它为组织节省了硬件成本,使用最新技术更加安全,发送方和接收方通信所需的时间更少,即减少了网络延迟。云数据备份将由云提供商完成,用户可以从任何地方使用 Internet 访问。
三种不同的云计算架构是:

  • 公共云– 由第三方云提供商运营,例如谷歌云。
  • 私有云——计算资源由单个组织用于满足其业务需求。
  • 混合云——公共云和私有云功能的结合。

Hadoop:
Hadoop 是一种软件框架,允许用户在分布式环境中处理大型数据集。根据数据集的大小,计算机以分布式文件系统 (DFS) 方式集群。在 Hadoop 分布式文件系统 (HDFS) 中,每个文件都被分成大小相等的块,复制三次并随机存储在数据节点中。许多组织开始使用 Hadoop 作为他们的数据仓库,因为它可以处理不同格式的数据。

下面是云计算和Hadoop之间的区别表:

S.No. Cloud Computing Hadoop
1 Data is stored on cloud servers situated at different locations. Large data is processed and stored as volumes of data in a HDFS environment.
2 Constitutes complex computer concepts, involves large number of computers which are connected in real time. It is a framework with simple programming models to process data.
3 Data is stored and processed in remote servers up next accessed from any preferred location. The processed data yields new patterns hidden in the data.
4 Requires low maintenance, backup and recovery of data is available. Need more maintenance when compared and difficult to retrieve lost data. 5 Internet is used to provide cloud based services. Distributed computing is used for processing the data. 6 On demand services are provided by cloud platforms. Different formats of data is being processed and analysed. 7 Computing behaviour like Performance, scalability are analysed. Processed data will be analysed and stored. 8 No need to purchase expensive hardware . Business organizers can apply the predicted outcomes of the processed data in their businesses.