Data Warehouse Has Been Of Term Paper

PAGES
6
WORDS
2010
Cite

Not only will these servers allow the user to access immense pools of data, but they will also allow them to do so in a fraction of the time (ICFAI, 2004).

Finally, it is also very likely that in the near future the very "number driven" data warehouses (numbers being the de facto definition of data), may become capable of "recognizing" text and even multi-media as data (Orr, 2000). Clearly, the implications of this are enormous -- both theoretically, as well as in the practical realm.

Conclusions:

Data warehouses are without question one of the most powerful technologies to impact the world of data management. The simple fact is that knowledge is power -- especially in the business world. Without a good way to access all of the available data produced or related to a given enterprise, many key decisions and operations may be made in grave error. Although most data warehouses have yet to fully exploit the world of "real time" data, or even today's expanding definition of data, they are still tremendously powerful, if not indispensable. One can only imaging that even smaller companies may soon be able to utilize this amazing technology as development prices eventually fall. It may even be possible one day for data to be accessible by any authorized individual at any time. Should that day come, data warehouses would have definitely paved the way.

References

Adamson, Christopher. (1998). "Data Warehouse Design Solutions." Wiley: New York.

CIOL. Staff. (2001). "Quantifying the Effects of a Data Warehouse." Web site. Retrieved from Web site on March 24, 2005, from, http://www.ciol.com

Dwinforcenter.org. (2005). "Getting Started with Learning...

...

Retrieved from Web site on March 24, 2005, from, http://www.dwinfocenter.org/getstart.html
Greenspun, Phillip. (2004). "Data Warehousing." Web site. Retrieved from Web site on March 24, 2005, from, http://philip.greenspun.com/sql/data-warehousing.html

ICFAI. ICFAI University Press. Staff. (2004). "Data Warehousing: Trends and Perspectives." Web site. Retrieved on March 24, 2005, from, http://www.icfaipress.org/books/Data%20Warehousing_Trnds_Persp.asp

Nepomnjashiy, Alexander. (2002). "OLAP and Data Warehousing - Data in Jail." Database Journal. 15 May. Retrieved from Web site on March 24, 2005, from, http://www.databasejournal.com/features/mssql/article.php/1457041

Orr, Ken. (1996). "Data Warehousing Technology." Web site. Retrieved from Web site on March 24, 2005, from, http://www.kenorrinst.com/dwpaper.html

Lambert, Bob. (1996). "Data Warehousing Fundamentals: What You Need to Know to Succeed." DMReview. 1 March. Web site. Retrieved on March 23, 2005, from, http://www.dmreview.com/article_sub.cfm?articleId=1313

PEP. Planet Earth Projects. (2004). "History of Data Processing." Web site. Retrieved on March 23, 2005, from, http://www.p-e-p.com/DataWarehouse/History.html

Poe, Vidette. Klauer, Patricia. Brobst, Stephen. (1997). "Building a Data Warehouse for Decision Support." 2nd Edition. Prentice Hall, New York. Pg. 23.

SearchDatabase.com. (2005). "Data Warehouse." Web site. Retrieved from Web site on March 24, 2005, from, http://searchdatabase.techtarget.com/sDefinition/0,sid13_gci211904,00.html

Watson, David. (2003). "Data Management: Databases and Organizations." Wiley, New York.

Sources Used in Documents:

References

Adamson, Christopher. (1998). "Data Warehouse Design Solutions." Wiley: New York.

CIOL. Staff. (2001). "Quantifying the Effects of a Data Warehouse." Web site. Retrieved from Web site on March 24, 2005, from, http://www.ciol.com

Dwinforcenter.org. (2005). "Getting Started with Learning About Data Warehousing" Web site. Retrieved from Web site on March 24, 2005, from, http://www.dwinfocenter.org/getstart.html

Greenspun, Phillip. (2004). "Data Warehousing." Web site. Retrieved from Web site on March 24, 2005, from, http://philip.greenspun.com/sql/data-warehousing.html
ICFAI. ICFAI University Press. Staff. (2004). "Data Warehousing: Trends and Perspectives." Web site. Retrieved on March 24, 2005, from, http://www.icfaipress.org/books/Data%20Warehousing_Trnds_Persp.asp
Nepomnjashiy, Alexander. (2002). "OLAP and Data Warehousing - Data in Jail." Database Journal. 15 May. Retrieved from Web site on March 24, 2005, from, http://www.databasejournal.com/features/mssql/article.php/1457041
Orr, Ken. (1996). "Data Warehousing Technology." Web site. Retrieved from Web site on March 24, 2005, from, http://www.kenorrinst.com/dwpaper.html
Lambert, Bob. (1996). "Data Warehousing Fundamentals: What You Need to Know to Succeed." DMReview. 1 March. Web site. Retrieved on March 23, 2005, from, http://www.dmreview.com/article_sub.cfm?articleId=1313
PEP. Planet Earth Projects. (2004). "History of Data Processing." Web site. Retrieved on March 23, 2005, from, http://www.p-e-p.com/DataWarehouse/History.html
SearchDatabase.com. (2005). "Data Warehouse." Web site. Retrieved from Web site on March 24, 2005, from, http://searchdatabase.techtarget.com/sDefinition/0,sid13_gci211904,00.html


Cite this Document:

"Data Warehouse Has Been Of" (2005, March 24) Retrieved April 25, 2024, from
https://www.paperdue.com/essay/data-warehouse-has-been-of-63564

"Data Warehouse Has Been Of" 24 March 2005. Web.25 April. 2024. <
https://www.paperdue.com/essay/data-warehouse-has-been-of-63564>

"Data Warehouse Has Been Of", 24 March 2005, Accessed.25 April. 2024,
https://www.paperdue.com/essay/data-warehouse-has-been-of-63564

Related Documents

Data Warehouse and Business Intelligence In order to write a paper on the similarities and contrast between data warehouse and business intelligence, we need to first define each term before finding the similarities and contrasts between the two. Data Warehouses Data warehouse are used for storing data for archival, analysis, and security purposes. The warehouses themselves are made up of one or many computers (i.e. servers) that are connected together into one giant

Additionally, there are concerns about selling such technology to third parties, and as a result more companies are promising to keep such information confidential. Oracle and MSQL are two of the most notable vendors of data warehouse technology, and have vastly improved the size and also the variety and 'scalability' of available data. Effective data warehouses have data mining models that enable "clustering, associations, classification, and prediction" of available

Data Warehousing: A Strategic Weapon of an Organization. Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation. The aims of the study are to

From Supply Chain Efficiency to Customer Segmentation Focus Because of this focus on supply chain forecasting accuracy and efficiency, the need for capturing very specific customer data becomes critical. The case study portrays the capturing of segmentation data as focused on growing each of the brands mentioned that VF relies on this data to base marketing, location development and store introductions, and pricing strategies on. In reality, the data delivered for

Growth Aided by Data Warehousing Adaptability of data warehousing to changes Using existing data effectively can lead to growth Uses of data warehouses for Public Service Getting investment through data warehouse Using Data Warehouse for Business Information Ongoing changes in Data Warehousing The Origin of Data Warehousing and its current importance Relationship between new operating system and data warehousing Developing Organizations through Data Warehousing Telephone and Data Warehousing Choose your own partner Data Warehousing for Societal Causes Updating inaccessible data Data warehousing for investors Usefulness

Database Data Warehouse Design Our company, Data Analytic Limited, specializes in collecting and analyzing data for various organizations. Over the years, we have assisted various companies to turn raw data into valuable information that assists the companies in making effective decision profitable in the short and long run. Our research and data analytics are geared towards giving extra edge to various companies. Our services include processing and analyzing terabytes of data