1, Frontier knowledge of big data and introduction to hadoop. Understand the historical background and development direction of big data and master two installation configurations of hadoop.
2.Hadoop deployment is advanced. Proficient in hadoop cluster construction; The distributed file system HDFS based on Hadoop architecture is deeply analyzed.
3.Java foundation. Understand the basic idea of java programming, skillfully use eclipse for simple java programming, skillfully use jar files, understand the principles of database management systems such as mysql, and understand the program development process based on web.
4.MapReduce theory and actual combat. Familiar with the working principle and application of mapreduce, familiar with the basic programming of MapReduce, and master the design and writing of projects based on MapReduce according to the goal of big data analysis. If you are interested, click here to study for free.
For more big data analysis training information, please consult Dana Education. The organization is committed to training professionals in the IT Internet industry, such as software development engineers, test engineers, UI designers, network marketing engineers and accountants. We have a perfect teaching and research team and a strong faculty to ensure students' interest and all-round learning. It has also signed talent training agreements with a number of enterprises to comprehensively help students find jobs better. Dana IT training institutions, audition places are snapped up in a limited time.