1. Compare data integration and ETL. How are they related?
Data integration consists of three processes that integrate data from multiple sources into a data warehouse: accessing the data, combining different views of the data and capturing changes to the data. It makes data available to ETL tools and, through the three processes of ETL, to the analysis tools of the data warehousing environment.
2. What is a data warehouse and what are its benefits? Why is Web accessibility important with a data warehouse?
A data warehouse can be defined (Section 5.2) as “a pool of data produced to support decision making.” This focuses on the essentials, leaving out characteristics that may vary from one DW to another but are not essential to the basic concept.
The same paragraph gives another definition: “a subject-oriented, integrated, time-variant, nonvolatile collection of data in support of management’s decision-making process.” This definition adds more specifics, but in every case appropriately: it is hard, if not impossible, to conceive of a data warehouse that would not be subject-oriented, integrated, etc.
The benefits of a data warehouse are that it provides decision making information, organized in a way that facilitates the types of access required for that purpose and supported by a wide range of software designed to work with it.
Web accessibility of a data warehouse is important because many analysis applications are Web-based, because users often access data over the Web (or over an intranet using the same tools) and because data from the Web may feed the DW.
(The first part of this question is essentially the same as Review Question 1 of Section 5.2. It would be redundant to assign that question if this one is to be answered as...
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...this issue is related to his/her feelings on the relationship of national economies to the global economy. It can be argued that offshoring improves the global economy while potentially harming one or more of the national economies involved—such as the student’s own. U.S. students may see primarily the damage they perceive it does to their national economy (and to their own career prospects), but students in India may take a different view. The economic, political and philosophical issues can be pursued well beyond what is practical in a DSS course.
If you feel students are too nationalistic on this issue, you can ask them if they feel the same way about a Massachusetts or California bank processing checks in Alabama to reduce labor costs. (This example uses U.S.territories, but similar issues exist in any country large enough to have regional economic differences.)
But First, Training Foreign Replacements” reveal the importance of the article to an international marketer. Outsourcing and offshoring prove to be the few topics one can learn in this article. An international marketer gains a better understanding of outsourcing and offshoring by recognizing the effects on the company, business, and economy. An important aspect of an international marketer’s career is to assess the market from a global perspective. An international marketer needs to know whether a company is outsourcing it’s employees incase they do not and need to market and appeal to potential employees for the company. An international marketer needs to understand the effects and how the topics outsourcing and offshoring work to gain a better grasp the company or business as a
Globalisation is a growing phenomenon that is the result of various developments in the global environment, each of which merits an individual analysis of its social impacts. For the purpose of this analysis, the focus will be placed upon arguably its most controversial aspect, offshore outsourcing. Offshore outsourcing, or offshoring, is becoming an increasingly common business practice as a result of a combination of the recent technological advancements in the areas of transportation and communication, and the increased competitiveness of the business world. From the perspective of firms, tapping into cheap labor from less developed countries is a very logical business decision to reduce costs and maximize profits. This has not only motivated businesses to engage in offshoring, it has sometimes been critical to their survival in fiercely competitive environments. Before making judgments regarding the righteousness of offshoring from different perspectives, its impact on stakeholders must first be evaluated.
Data warehouse developer is responsible for maintaining the practices of modeling, dimensional data, relational structures, and other reporting techniques. Candidates possessing an inner desire for long term employment opportunities in a team oriented fast paced wonderful environment. They need to be qualified with Information Systems, Computer Science and other related fields. It would be preferable to possess minimum of 7 years’ experience with warehouse design and analysis experience with complete knowledge about data modeling and warehouse methodologies. Job requirements for Albertsons Data warehouse developer jobs-
As the problem of job outsourcing becomes more of an issue in politics, elected officials like the President and Congress will no longer be able to ignore the dilemma. The war in Iraq has been at the forefront of the presidential race but the importance of outsourcing American jobs seems to have been slightly overshadowed. If the issue of outsourcing is not watched carefully and a definitive plan hammered out, a trickling down of negative effects may occur within the U.S. economy. However, there is a polarized opinion on the effects of this “phenomenon”.
( The section below can get confusing as you approach the end, pls. read it carefully.)
Data management is the process of managing information through designs and policies of an organization (Rouse, M., 2010). Data managers have to make sure that their organization is in compliance with regulations at all times. Data management can be effective if the organization do the following: 1) Every individual is assigned his or her on responsibility, 2) Determine how the data will be stored and backed up, 3) Implement a data management plan, and 4) Determine how data will be modified (Penn State, n.d.). Knowing who is involved and what their job is with the data is essential for an organization in order to manage data. When managing data you have to know how it will be stored and backed up in order to access the data effectively. You can not manage data without having an effective management plan to show you how to manage the data in your particular organization. Also, if you are managing the data you have to be able to know how the data will and when it will be modified. Managing data can be tricky, especially now that there are lots of laws that an organization must be in compliance with.
Data can give you quite a bit of information about your customers. By examining it, you will be able to begin to see patterns and learn the habits of your customers. This could mean that you are able to provide the correct number of products at the perfect time instead of having a shortfall or being left with additional stock long after interest has fallen in the product.
TRANSLATION: Database and DBMS The database is a collection of data stored systematically inside a computer that can be processed or manipulated using an application program to generate useful information. The database is an important aspect of the information system because it functions as a data warehouse where the stored data will be processed further. The database can organize data, avoid duplicate data, avoid unclear data relationships as well as complex updates. The process of retrieving data from and entering data to storage media requires software called DBMS.
The market segment for this technology is huge and is estimated over $50 billion. As of now over 90 percent of the big companies already have data warehouse or constructing one. It has been reported that 62 data warehousing projects has shown an average return of 321 percent, with an average payback of 2.73 years. It is also said that expenditures on data warehousing technology has expected to reach nearly $500 billion
patient, provider, payer etc. Therefore data warehouse design presented in this paper can be utilized in any application related to medical claim processing. Data is in normalized form in operational database and it is required to be in de-normalized form in data warehouse, for efficiency and ease of data fetching. Another major difference between operational database and data warehouse is use of primary key. In operational database primary key is logical, IDs are generated with some logic (like Practice code appended with serial number to form a patient ID). While in data warehouse primary key is physical, i.e. an auto generated serial number which increments when new record is inserted, even if the same record is already present. Physical primary key is used in all dimension tables and fact tables of the data
As Faubl 2011 asserts, databases are mainly created for three core functions; to organize, store, and retrieve information in a more effective and effic...
Databases are becoming as common in the workplace as the stapler. Businesses use databases to keep track of payroll, vacations, inventory, and a multitude of other taske of which are to vast to mention here. Basically businesses use databases anytime a large amount of data must be stored in such a manor that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user. Databases are used extensively where I work. In fact, since Hyperion Solutions is a database and financial intelligence software developing company we produce one. To keep the material within scope I shall narrow the use of databases down to what we use just in the Orlando office of Hyperion Solutions alone.
The dynamics of our society bring many challenges and opportunities to the business world. Within the last decade, hundreds of jobs have emerged particularly in the technology sector to help keep up with the ever-changing world and to compete on a larger and better scale than the competition. Two key job markets and the basis of this research paper are business intelligence or BI and data mining or DM. These two fields play a very important role in small to large companies and are becoming higher desired sectors within the back offices of the workplace. This paper will explore what the meaning of BI and DM really is, how they are used and what we can expect as workers and learners of the technology and business fields for the future.
People need to get educated about the great impact that offshore outsourcing has on an economy. The global economy has started to thrive and offshore outsourcing has profited the consumers as companies want to cut costs and competition, which is why I support offshore outsourcing jobs to foreign countries. What does it mean to offshore outsource? Let’s first start by explaining what outsourcing means. The basic meaning of outsourcing is to obtain goods or services from an outside source.
In our world, people rely heavily on the power of technology every day. Kids are learning how to operate an iPad before they can even say their first word. School assignments have become virtual, making it possible to do anywhere in the world. We can receive information from across the world in less than a second with the touch of a button. Technology is a big part of our lives, and without it life just becomes a lot harder. Just like our phones have such an importance to us in our daily lives, database management systems are the same for businesses. Without this important software, it would be almost impossible for companies to complete simple daily tasks with such ease.