文件名称:
Hadoop_Data Processing and Modelling-Packt Publishing(2016).pdf
开发工具:
文件大小: 11mb
下载次数: 0
上传时间: 2018-03-11
详细说明： A number of organizations are focusing on big data processing, particularly with Hadoop. This course will help you understand how Hadoop, as an ecosystem, helps us store, process, and analyze data. Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and an ever-growing ecosystem make Hadoop an inclusive platform for programmers with different levels of expertise and breadth of knowledge. A team of machines are interconnected via a very fast network and provide better scaling and elasticity, but that is not enough. These clusters have to be programmed. A greater number of machines, just like a team of human beings, require more coordination and synchronization. The higher the number of machines, the greater the possibility of failures in the cluster. How do we handle synchronization and fault tolerance in a simple way easing the burden on the programmer? The answer is systems such as Hadoop. Today, it is the number-one sought after job skill in the data sciences space. To handle and analyze Big Data, Hadoop has become the go-to tool. Hadoop 2.x is spreading its wings to cover a variety of application paradigms and solve a wider range of data problems. It is rapidly becoming a general-purpose cluster platform for all data processing needs, and will soon become a mandatory skill for every engineer across verticals. Explore the power of Hadoop ecosystem to be able to tackle real-world scenarios and build. This course covers optimizations and advanced features of MapReduce, Pig, and Hive. Along with Hadoop 2.x and illustrates how it can be used to extend the capabilities of Hadoop. When you nish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes. ...展开收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
