INTRODUCTION
Essentially, Databases are structured information which is organized into a one unit. Various businesses that vary in a wide range size utilize Database systems to run their companies. Database systems are known for helping companies organize company information, content, and media. For example, Database systems can track a company’s performance, sales, revenue, cashflows and liabilities. Moreover, it can organize the actual structure of how the company operates during their day to day business management. Database Systems can measure a company’s inventory and keep them on track with how much the products and services they must offer to keep their company projecting towards making a profit. The ultimate purpose of a database is to help a company stay organized and keep the company running very efficient.
Moving Forward, I will begin to discuss effective Database Management Systems. Database Management Systems are the literal systems that organize, manage, track, and record the data and feedback from the company. There are dozens of software systems that company’s may use to handle this responsibility such as Oracle RDBMS, IBM DB2, Microsoft SQL Server, SAP Sybase ASE, Teradata, and more. According to Techopedia “Oracle RDBMS is a relational database management system (RDBMS) from the Oracle Corporation. Originally developed in 1977 by Lawrence Ellison and other developers, Oracle DB is one of the most trusted and widely-used relational database engines.” According to the search data center “DB2 is a family of relational database management system (RDBMS) products from IBM that serve a number of different operating system platforms. According to IBM, DB2 leads in terms of database market share and performance.” According to Techopedia “SQL Server is Microsoft's relational database management system (RDBMS). It is a full-featured database primarily designed to compete against competitors Oracle Database (DB) and MySQL. Like all major RBDMS, SQL Server supports ANSI SQL, the standard SQL language.” According to Tech target “ Sybase is a computer software company that develops and sells database management system (DBMS) and middleware products. The company was founded in 1984, and the headquarters offices are in Emeryville, CA. Sybase was the first enterprise DBMS for the Linux operating system.” And Lastly, According to Teradata tutorials “Teradata is a popular Relational Database Management System (RDBMS) suitable for large data warehousing applications. … This tutorial provides a good understanding of Teradata Architecture, various SQL commands, Indexing concepts and Utilities to import/export data.” These are just a few databases that are utilized by various companies globally. Some databases are specific to one market or they may only provide a specific function that works effectively to evaluate an individual market. The question now becomes, ‘How to choose the right type of database for one’s enterprise.
Good Database Systems can successfully make a company run effectively by performing functions that allow the company to make generates and run effectively. As we discussed earlier in the paper, Many databases can run or work better for a specific market. For example, if Kate has a bakery shop, she will not need to acquire a database systems that measure the market and focuses on the volatility of a specific stock. She will need to acquire a database system that manages how much inventory comes and goes every week, how much sales is the company generating, the high and low peeks of her small businesses sales, etc. if she finds a database system that caters specific to her companies needs then she will be able to run her business effectively.
Moving forward, I will begin to discuss With a good data management system in place within the framework of your company, one can effectively improve your business’s efforts in avoidance of legal liabilities, failure to meet regulations and suppressing of risks in general. Risks are rarely profitable and maintaining clean legal status for your company gives you an edge with potential customers looking for a trustworthy service to invest in. Good database management can help you keep your company secure and compliant without forcing you to make serious financial sacrifices to do so.
With a powerful database management solutions in effect, you can optimize your understanding of your company’s operational history as efficiently as you can keep track of what is occurring in the here and now. Most importantly, you can use the information you have access to for the sake of applying deliberate and immediate action.
Rectifying production or service problems as they occur will afford your company a whole new means of improvement. Also, with predictive program elements worked into your chosen platform, you can even prevent operations issues before they present themselves.
I. REVIEW OF SOURCES
In this research paper, I will focus on various aspects of Database systems and the benefits of the systems within a business. I will begin by discussing the overall functions of a database with the business and the importance of the implementation to the company.
A database management system provides three views of the database data: The external level defines how each group of end-users sees the organization of data in the database. A single database can have any number of views at the external level. The conceptual level unifies the various external views into a compatible global view. It provides the synthesis of all the external views. It is out of the scope of the various database end-users, and is rather of interest to database application developers and database administrators.
II. METHODOLOGY
The internal level (or physical level) is the internal organization of data inside a DBMS. It is concerned with cost, performance, scalability and other operational matters. It deals with storage layout of the data, using storage structures such as indexes to enhance performance. Occasionally it stores data of individual views (materialized views), computed from generic data, if performance justification exists for such redundancy. It balances all the external views' performance requirements, possibly conflicting, in an attempt to optimize overall performance across all activities.
While there is typically only one conceptual (or logical) and physical (or internal) view of the data, there can be any number of different external views. This allows users to see database information in a more business-related way rather than from a technical, processing viewpoint. For example, a financial department of a company needs the payment details of all employees as part of the company's expenses, but does not need details about employees that are the interest of the human resources department. Thus different departments need different views of the company's database.
The three-level database architecture relates to the concept of data independence which was one of the major initial driving forces of the relational model. The idea is that changes made at a certain level do not affect the view at a higher level. For example, changes in the internal level do not affect application programs written using conceptual level interfaces, which reduces the impact of making physical changes to improve performance.
The conceptual view provides a level of indirection between internal and external. On one hand it provides a common view of the database, independent of different external view structures, and on the other hand it abstracts away details of how the data are stored or managed (internal level). In principle every level, and even every external view, can be presented by a different data model. In practice usually a given DBMS uses the same data model for both the external and the conceptual levels (e.g., relational model). The internal level, which is hidden inside the DBMS and depends on its implementation, requires a different level of detail and uses its own types of data structure types. Separating the external, conceptual and internal levels was a major feature of the relational database model implementations that dominate 21st century databases
III. ANAYLSIS
This is an incredibly important aspect to consider when contemplating the impact that database management systems could potentially have on operations management within your company. Tracking the performance of employees throughout all aspects of production can help to save time and frustration by giving you specific insight into problem areas and elements that can be improved upon.
With a powerful database management solution in effect, you can optimize your understanding of your company’s operational history as efficiently as you can keep track of what is occurring in the here and now. Most importantly, you can use the information you have access to for the sake of applying deliberate and immediate action.
Rectifying production or service problems as they occur will afford your company a whole new means of improvement. Also, with predictive program elements worked into your chosen platform, you can even prevent operations issues before they present themselves.
With a good data management system in place within the framework of your company, you can effectively improve your business’s efforts in avoidance of legal liabilities, failure to meet regulations and suppressing of risks in general. Risks are rarely profitable and maintaining clean legal status for your company gives you an edge with potential customers looking for a trustworthy service to invest in. Good database management can help you keep your company secure and compliant without forcing you to make serious financial sacrifices to do so.
Improve Overall Business Process Analysis
Analyzing your company’s ongoing processes is a powerful capability to wield for many reasons. Primarily, this ability allows you to precisely understand the nature of your business’s dependencies at each stage of production or service provision – giving you the chance to interpret such information deeply and move forward with all insights you might encounter. Important information is documented for your convenience in most cases, as well. This eliminates the time-consuming need for you to extract data and compile it into a useful format before you can build an actionable plan from it.
Getting operations management optimized is complicated enough without adding on the need to source data from multiple business environments, groups of people and platforms. Keeping everything you need to access in a single location can take the frustration out of the situation when it comes to cleaning up your business’s functions.
Placing all of your important data on a cloud-based server system (under lock and key with a competent service provider) saves you time and energy as well as grants you access to such data from any device you have on hand (in any location where you can connect to the Internet). In other words, centralizing your data with a database management system that resides in the cloud opens the door for unrivaled flexibility and efficiency.
Database management system are the key to improvement in all aspects of your business’s operations management approach. By securing a powerful database management solution for your company, you can cut processing time in half with useful features that were previously unheard of. Most importantly, your time and effort investment in the process of analysis of business operations for the sake of improvement can be substantially downsized whilst your efficiency and effectiveness skyrocket
IV. CONCLUSION
A database is an organized collection of various forms of data. It is also known as a structured set of data that is accessible in many ways through your computer.
The various reasons for which we require databases are: To manage large chunks of data: Yes, you can store data into a spreadsheet, but if you add large chunks of data into the sheet, it will simply not work. For instance: if your size of data increases into thousands of records, it will simply create a problem of speed. Accuracy: When doing data entry files in a spreadsheet, it becomes difficult to manage the accuracy as there are no validations present in it. Ease of updating data: With the database, you can flexibly update the data according to your convenience.
Moreover, multiple people can also edit data at same time. Security of data: There is no denying the fact that your data is less secure in spreadsheets. Anyone can easily get access to file and can make changes to it. With databases you have security groups and privileges you set to restrict access. Data integrity: Data integrity also becomes a question when storing data in spreadsheets. In databases, you can be assured of accuracy and consistency of data due to the built in integrity checks and access controls.