With the arrival of the big data era, more powerful computers and more mature big data platform tools for enterprises from the massive data mining data value has become possible, especially based on Hadoop Big Data Platform, which can even handle TB, PB level of data with cheap commercial hardware. In the initial construction process of Hadoop Big Data Platform, the first step often starts with the building function, ignoring the security control strategy. The Yahoo team proposed Kerberos-based authentication scheme in 2009, which led to the Hadoop Big Data Platform security control work in full swing. This article introduces the history of the Hadoop Big Data Platform. Then, it describes the traditional security issues existing in Hadoop Big Data Platform before 2009. Finally, it tries to present the security of the Hadoop ecosystem components in the industry and the security solution for each component. We hope to provide reference for the construction of Hadoop Big Data Platform security, so people can reasonably use advanced security control program to protect the enterprise's and user's privacy data.