Advantages And Disadvantages Of Banking System

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Limitations of the proposed implementation:
Although there are a lot of advantages of adopting a Hadoop-based approach, there are disadvantages too. In this section, I have highlighted some of the limitations that are related to the use of Hadoop. Below is a comprehensive list:
1. Security Concerns: Data security is the primary concern of a financial institution like a bank. It needs to protect its customer information, their transactional data and their unstructured data in the form of emails and social media information. Hadoop system is highly transparent to the users which enables it to hide the complexity associated with its implementation. By default, the security model of Hadoop is disabled due to its sheer complexity. It also lacks encryption at storage and network levels. Because a financial institution cannot afford any sort of lapse in security, the bank has to make sure that an appropriate solution has to be found before going ahead with the implementation. A prospective solution maybe to enable the security on Hadoop but this …show more content…

And this was just the structured data. When you factor in the growth due to the unstructured data as well, it could get to 1 PB in the next five years (maybe less). To remain on top of this growth of data it would be beneficial for the bank to plan for the future. This way they can stop the problem from going out of hand. It would be beneficial for the bank to use Hadoop because it is open source and also because it is compatible with a range of analysis and BI tools. This gives the bank an opportunity to try tools that would suit its growth of data. Apache has kick started it’s Apache Drill project for interactive analysis of large scale data sets. I am not sure if they have release the product for the customers but it is compatible with a wide range of distributed file systems including Hadoop. This can be a good alternative for Impala

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