Hadoop is very familiar to those who work on the Internet. I believe there are many people around us who are switching to Hadoop development, and of course there will be many beginners to Hadoop. Hadoop development is so low-level and technically harder than we thought, picking the right version of Hadoop means getting started faster for beginners! Hadoop is a distributed system infrastructure developed by the Apache Foundation. Its core design is HDFS and MapReduce. HDFS provides storage for massive data, while MapReduce provides computing for massive data. The rapid development of the Internet in China has given rise to the rapid growth of big data technology. Massive data urgently need a proper way to deal with it. Hadoop was on the cusp, so it exploded. There are many commercial releases of Hadoop in China, which can be said to be dominated by foreign capital. After all, Hadoop was first proposed by foreign countries, and the corresponding rules of play have been formulated, while we can only passively accept it to a large extent. Even so, we are seeing some homegrown distributions of Hadoop. For example, Alibaba Cloud is doing big data, Huawei Cloud, Tencent cloud and so on.
However, the latest stable release of Hadoop that you want to recommend to new Hadoop users today is DKHadoop. Dkhadoop is a commercial release that integrates all components of the entire Hadoop ecosystem and is deeply optimized. It has been recompiled into a complete general computing platform for big data with higher performance, realizing the organic coordination of all components. Compared with open source big data platforms, Big And Fast Hadoop has greatly improved its computing performance.
