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No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. This course is for those new to data science. * Install and run a program using Hadoop! * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions.
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* Get value out of Big Data by using a 5-step process to structure your analysis. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible - increasing the potential for data to transform our world!Īt the end of this course, you will be able to: It is for those who want to start thinking about how Big Data might be useful in their business or career. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.