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In this report we will discuss various techniques are used in Banking database, and we will focus on National Bank of Kuwait. Big data concept used in banking database. The different information store it are personal and commercial. Nowadays, banking database is used by new technologies, which It helps to store the information in automatically and protect the data. Also, it will help the customers to satisfy their needs by providing the various services like Facilities such as online banking, Door to door facility and another accounting facilities. (Banking System, 2008).

Kuwait Banking sector includes various rules and regulations that follow the banking system, and It related to U.S. Business. The banking system is primarily coming from the Five Islamic Banks, and National Bank of Kuwait is the most extensive bank, and it acts as a fundamental law as 1968.The national level of assembly is allowed by imported languages in Kuwait. Recently 12 foreign branches are available in Kuwait. All of these banks are controlled by Kuwait central bank and it specialised into two types such as government and own bank. The own bank type is allotted for long term support and Medium level supported. The Industrial range of banking sector that offers the various financial statement is related to industrial and agricultural topics. (kuwait banking, 2017).

Big data is a phrase concept of calculating the mean and massive volume of both data such as structured or unstructured. In this concept is used in banking database. It is difficult to change processing method in the traditional database used by software techniques. Most bank enterprises issued by the high volume of big data concept. (Bee, 2018).It is dealing with the more extensive database; large corporations are facing the various challenges to creating the database, manipulate and execute the business analytics. Big data is defined as the growth in the volume of structured and unstructured data.it is helps to collect the various data at one point. Big data concept is collect the many information arranged in different formats. (Big data, 2018).Big data concept is classified in different ways such as Structured, Unstructured and Semi-Structured. It helps to improve the customer satisfaction and identify the risk of products and various services. (Introduction to BIG DATA: Types, Characteristics & Benefits, 2018).

The database is designed for the proper procedure in the relational database. In this used by old technologies is called as a traditional database. It is mentioned in My SQL. It is having the format of Various applications do query and analysis. Big data concept is used in the Distributed system, in part of networking. It depends upon the various forms and followed by big data infrastructures. It is having own advantages such as in long term process. (Schad, 2017).

According to author Sophie Cockcroft says Information system is a support to the financial Accounting system. Big data and other concept are mentioned as the backbone of commercial applications. It is used to change the transformation in economic format. Central review of this paper is analysis the database creation, implementation and execution process. Financial Data includes the big data concept is analysis the various perspective of assets, Liabilities and equity and financial income statements. (Cockcroft, 2016).

According to author Ahmed Elragal discuss the financial factor supports the information area. It is a support to decides the earliest way. It handles several tools and methods are used. Various data and different solutions are related to a bank database. Decision-making skills are based on changing the multiple data and define the specific analysis methods of customer interactions and other specifications. (Nada Elgendy, 2014).

Big data is a standard tool, and it is reflected in significant data finance sector. It is represented in the various business sector and educational Instructions. Most of the Financial industry is adopted this kind of technology. Big data concept is to encourage and directly focus on achieving the customer-centric outcomes.

The banking industry has data operation and services. Database system uses most of the banking system. It is a process of data will be created and changing the banking sector process. Big data concept is a collection of high volume data; it helps to develop banking industry. Big data concept is easy to use of banking sector. An evaluation of banking industry is monitor the progress state of bank process and give the relationship through client personal information to Bank information. It is used to monitor the bank progress and clients records in the database. In this switching type of big data, the concept used, it helps to avoid the problematic situations. Big data concept is must follow the massive system. For example, for any information is needed means enter the account number the complete details will be displayed. Significant data Analysis helps to allow the corporation functions and identify the problem in before processing of clients or customer. Advantageous of Bid data is helping in Banking Sector means to find the fraud detection and analysis the prevention process, Next stage is to enhance the values of various compliances in Reporting format. (Madesimple, 2016).

Introduce the New Data Volume is continuing with specific growth, it is described collecting a vast amount of data is connected to internet or website format. Analysis the data will improved-in this SQL statements, and other type’s languages are used. It helps to maintain the organisational or banking growth. Most of the tools are used in Analysis processes such as Micro-soft, SQL and Other Languages. To build the new kind of software is used in the analysis process. DB software is helpful to check the intelligence performance related to customer and clients. (Marr, 2016).

· It is directly focused on a future technology level, It is mentioned as

· Big data and Analysis concepts help to continue the business growth

· Perform Big data concept and Actions, Insights

· Machine learning techniques used to clean the Big data

· No Business, No data

· Safety and Confidentiality (Aidan, 2016)

National Bank of Kuwait is having various services related to customer orientation. In this mentioned E-net Banking and mobile services and others. Bank database is stored the different information automatically. The database uses NBK is using the technique as big data. It helps to easy to save the data in automatically and solve the problem in very efficiently. It is one of the smart and advanced technologies of Kuwait Bank industry.

Bibliography Aidan. (2016, March 28). WT VOX. Retrieved from wtvox.com: https://wtvox.com/big-data/the-future-big-data/ Banking System. (2008). Scribd. Retrieved from www.scribd.com: ACcounts.google.com/AddSession?continue=https%3A%2F%2Fmail.google.com%2Fmail%2Fu%2F%2F&sacu=1&ignoreShadow=0&acui=9#Email=ushasivanesan2015%40gmail.com Bee, v. (2018). wepo pedia. Retrieved from www.webopedia.com: https://www.webopedia.com/TERM/B/big_data.html Big data. (2018). Investopedia. Retrieved from www.investopedia.com: https://www.investopedia.com/terms/b/big-data.asp Cockcroft, S. (2016). Big data in Financial Management a structured literature review and Opportunities for IS research . Australasian Conference on Information Systems, 1-12. Introduction to BIG DATA: Types, Characteristics & Benefits. (2018). Guru 99. Retrieved from www.guru99.com: https://www.guru99.com/what-is-big-data.html kuwait banking. (2017, july 25). export.gov. Retrieved from www.export.gov: https://www.export.gov/article?id=Kuwait-Banking-Systems Madesimple, B. (2016, May 3). The Role of big data in the banking Industry. Retrieved from http://bigdata-madesimple.com: http://bigdata-madesimple.com/role-big-data-banking-industry/ Marr, B. (2016). Forbes. Retrieved from www.forbes.com: https://www.forbes.com/sites/bernardmarr/2016/03/15/17-predictions-about-the-future-of-big-data-everyone-should-read/#1b1220981a32 Nada Elgendy, A. E. (2014). Big Data Analytics: A Literature Review Paper. research gate, 1-10. National Bank of Kuwait. (2018). Farabi. Retrieved from http://farabi.ae/nbk/: http://farabi.ae/nbk/ Schad, F. (2017). IBM Risk Management. Retrieved from www.ibm.com: https://www.ibm.com/communities/analytics/riskmanagement-blog/big-data-for-banking-which-database-model-is-best-for-you/