文件名称：Hadoop_Data Processing and Modelling-Packt Publishing(2016).pdf
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更新时间：2021-03-31 02:24:27
Hadoop
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.