G M Faruk Ahmed, CISSP, CISA, CDCP

After the independence, banking industry in Bangladesh started its journey with 6 nationalized commercialized banks, 2 State owned specialized banks and 3 Foreign Banks. In the 1980's banking industry achieved significant expansion with the entrance of private banks. At present there are 56 scheduled banks in Bangladesh in which 6 State Owned Commercial Banks (SOCBs) with large number of branches which are fully or majorly owned by the Government of Bangladesh (GoB). These SOCBs is serving its… আরও দেখান

After the independence, banking industry in Bangladesh started its journey with 6 nationalized commercialized banks, 2 State owned specialized banks and 3 Foreign Banks. In the 1980's banking industry achieved significant expansion with the entrance of private banks. At present there are 56 scheduled banks in Bangladesh in which 6 State Owned Commercial Banks (SOCBs) with large number of branches which are fully or majorly owned by the Government of Bangladesh (GoB). These SOCBs is serving its millions of customers in urban and rural areas across the country with its wider branch network and modern technological facilities. From these 6 SOCBs, considering a bank which uniform modernize facility for its Transaction from anywhere of the country. To perform these facilities continuously to the customer the Bank has setup latest technology with hardware equipment and world’s remarkable software. At the same time Bank has taken different measures and setup for uninterruptable services to the customer and continues business of the bank. For this purpose Bank has established Data Center (DC), Data Recovery Center (DRC) and prepared a disaster recovery plan, business continuity plan to overcome any natural and artificial disaster. কম করে দেখান

Now a days, most of the organization have to build data warehouses. They store massive amount of data for their Mangement to make decision easy for running business. This type of organizations like both in terms application tools and development methods. Now in the world there are two data ware housing models are running. They are as follows:
- Bill Inmon’s and
- Ralph Kimball’s.
Bill Inmon method is a top-down development approach that uses traditional relational database tools to… আরও দেখান

Now a days, most of the organization have to build data warehouses. They store massive amount of data for their Mangement to make decision easy for running business. This type of organizations like both in terms application tools and development methods. Now in the world there are two data ware housing models are running. They are as follows:
- Bill Inmon’s and
- Ralph Kimball’s.
Bill Inmon method is a top-down development approach that uses traditional relational database tools to build a data warehouse. Single databases are developed to mitigate maximum decision support for the top management of an organization from this enterprise wide data warehouse. On the other hand Ralph Kimball method is a bottom-up strategy that innovate a special term that is called data modeling approach (dimensional modeling), unique to data warehousing. Kimball says building one database (or data mart) per business process or department of an organization rather than building a single enterprise wide database. Kimball uses another term a data bus standard to accomplish enterprise wide cohesion. We have to know of these two models similarities and differences in order to achieve foundational knowledge of the most basic data warehouse concepts. We also find out which organizational characteristics are best fit to each method. কম করে দেখান

In this study “Online Analytical Processing for the Application of Data Cubes in Business Data Visualization” it examined business data cube visualization. Data cube is that tool which is used in online analytical processing (OLAP) systems for the supporting of decision making in different analyzing organization. Structured from base business data, this interactive visualization method introduces a conditional 1D cuboid hierarchical tree structure to signify data cubes and apply… আরও দেখান

In this study “Online Analytical Processing for the Application of Data Cubes in Business Data Visualization” it examined business data cube visualization. Data cube is that tool which is used in online analytical processing (OLAP) systems for the supporting of decision making in different analyzing organization. Structured from base business data, this interactive visualization method introduces a conditional 1D cuboid hierarchical tree structure to signify data cubes and apply 2D graphical icons to demonstrate data elements. Users can then interactively survey multidimensional data in hierarchical levels. Online analytical processing (OLAP) has gained its popularity and broaden good reputation in database industry. With a huge amount of data stored in different types of sources, different types of databases and the introduction of such kind of components to many relational or object oriented relational databases, it is significant to study the methods for visualizing Business Data. Multidimensional data analysis, as supported by online analytical processing (OLAP) systems, requires the computation of many aggregate functions over a large volume of historically data which is collected from different sources of data and different database formatted data. কম করে দেখান