Summary
In this chapter, we understood the overall security challenges for securing Hadoop-based Big Data ecosystem deployments. We looked at the two different types (source and insights) of data that is stored in the Hadoop ecosystem and how important it is to secure these datasets to retain business confidence. We detailed out the key security considerations for securing Hadoop, and presented the overall security reference architecture that can be used as a guiding light for the overall security design of a Big Data ecosystem. In the rest of the book, we will use this reference architecture as a guide to implement the Hadoop-based secured Big Data ecosystem.
In the next chapter, we will look in depth at the Kerberos security model and how this is deployed in a secured Hadoop cluster. We will look at the Hadoop security model in detail and understand the key design considerations based on the current Hadoop security implementation.
