深入了解Hadoop HDFS进阶课程
相信同学们对Hadoop并不陌生。 本课程基于更成熟的生态系统技术，打造更成熟的Hadoop分布式文件架构系统。 Hadoop基于JAVA语言，这也是JAVA更有利于大数据开发的原因之一。 Hadoop 可以利用集群的强大功能进行高速计算和存储。 Hadoop 的组件之一是 HDFS。 HDFS具有容错性高的特点，特别适合超大型集群的应用。 课程安排还包括HDFS核心技术的教学，从高阶教学到案例实践，非常适合学生为学业充电。(I believe that students are not unfamiliar with Hadoop. This course is based on more mature ecosystem technology to create a more mature Hadoop distributed file architecture system. Hadoop is based on Java language, which is one of the reasons why Java is more conducive to big data development. Hadoop can use the powerful function of cluster for high-speed computing and storage. One of the components of Hadoop is HDFS. HDFS has the characteristics of high fault tolerance, which is especially suitable for the application of super large clusters. The course arrangement also includes the teaching of HDFS core technology, from high-level teaching to case practice, which is very suitable for students to recharge their studies.)
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