Data Warehousing and Security
This paper concentrates on the primary theme of Data Warehousing and Security in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 40. For more details and full access to the paper, please refer to the site.
Data Warehousing and Security INSTRUCTIONS:
For this module, we’ll continue to work with products from the SAP Crystal Solutions website. Please select 2-3 of the tools for the final SLP at https://help.sap.com/database
When you’ve had a chance to complete your viewing and/or hands-on work with your selected demo, please prepare a short 4-6 page report addressing these issues:
What do you think of the site and tools presented this time around? What do you think can be learned from these tools? In what situations do you think these tools are useful? How can and/or could you apply these tools in your organization, career, or personal life? What is your overall evaluation of the tools? (Make sure you give specifics and the basis of your evaluation). SLP Assignment Expectations
Your paper should be 4-6 pages in length, and reflect your personal experiences with this issue. The important part of all these project assignments is to carefully assess your own experiences with the topic, and then reflect critically on what you might have learned about yourself and about situations through this assessment process.
The more that you can use the exercise to develop personal implications for your growth as a potential business person as well as a knowledge user, the more value you`ll get out of the exercise.
If there are reasons why the entire exercise is impractical for you to undertake at all, please explain them to your instructor as early in the Module as possible, so that an alternative assignment can be arranged.
Your paper will be evaluated on the following criteria:
Precision: You carried out the exercise as assigned, or carefully explained the limitations that might have prevented your completing some parts (running out of time isn’t generally considered an adequate limitation).Clarity: Your answers are clear and show your good understanding of the topic.Breadth and Depth: The scope covered in your paper is directly related to the questions of the assignment and the learning objectives of the module.Critical Thinking: The paper incorporates your reactions, examples, and applications of the material to business that illustrate your reflective judgment and good understanding of the concepts.CONTENT:
Data Management Name: Institution: Course: Date: Data management is one of the major processes that every other organization is tasked to undertake regardless of the level of operation. In business it forms part of the backbone of the business operations. As such, it plays a major role in the direction the business will take relative to the flexibility of the data between the different parties using it. Every other organization has data that they work with, some of which is sensitive while others are relatively safe to handle. The level of flexibility that the organization employs is relative to the platform that they use. There are different data management softwares in the market and choosing the right one is one of the tasking affairs of data management(Help.sap.com, 2015). Depending on the type of data that the organization handles, the manipulations possible on the data and the various levels of clearance among others factors, a data management system is supposed to offer flexibility of data access, manipulation while at the same time offering top level security. Data mining is becoming a common practice among organizations, relative to the massive data packages that they have to handle at any one time and the number of manipulations that are performed on the data by the various people that have access to the same at different levels(Boorman, 2011). As such with the emergence of big data, companies are under immense pressure to find and implement reliable platf...
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