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Topic: Data warehousing

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Data warehouse

Data mart

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	Data Warehousing Technology
		Data Warehousing is a field that has grown out of the integration of a number of different technologies and experiences over the last two decades.
		Data Staging is also called copy management or replication management, but in fact, it includes all of the processes necessary to select, edit, summarize, combine and load data warehouse and information access data from operational and/or external databases.
		The scope of a data warehouse may be as broad as all the informational data for the entire enterprise from the beginning of time, or it may be as narrow as a personal data warehouse for a single manager for a single year.
	www.kenorrinst.com /dwpaper.html (3513 words)

	Data warehouse -- Facts, Info, and Encyclopedia article (Site not responding. Last check: 2007-10-22)
		A data warehouse is, primarily, a record of an enterprise's past transactional and operational information, stored in a (An organized body of related information) database (Click link for more info and facts about designed) designed to favour efficient data analysis and reporting (especially (Click link for more info and facts about OLAP) OLAP).
		Data warehousing is not meant for current, "live" data.
		Data warehouses often hold large amounts of (A message received and understood) information which are sometimes subdivided into smaller logical units called (Click link for more info and facts about dependent data marts) dependent data marts.
	www.absoluteastronomy.com /encyclopedia/D/Da/Data_warehouse.htm (420 words)

	Data Warehousing (Site not responding. Last check: 2007-10-22)
		Data warehousing as a concept has come a long way, from being a novelty to a norm today.
		With all of the activity surrounding data warehousing, it is hard to sort out which issues and trends are most pressing for enterprises.
		Data quality should be checked every time the data is touched, at the front end, middle and back end of the system.
	www.ciol.com /content/e_ent/data_ware (1040 words)

	Glossary
		Data changes in the fields for levels or attributes is one of the most challenging design issues for multidimensional (star schema) data modeling.
		Data quality assurance is one of the greatest challenges in the process of data warehousing.
		One of the biggest challenges of the data warehousing process is to bring data out of the variety of systems where it currently is located and organize it so it all fits together in the data warehouse.
	www.sdgcomputing.com /glossary.htm (5777 words)

	The Data Warehousing Information Center - A Definition of Data Warehousing
		Ralph states that a data warehouse is "a copy of transaction data specifically structured for query and analysis".
		Queries and reports generated from data stored in a data warehouse may or may not be used for analysis.
		Data warehousing is not necessarily for the needs of "decision makers" or used in the process of decision making.
	www.dwinfocenter.org /defined.html (429 words)

	Data Warehousing Encyclopedia Article, Definition, History, Biography (Site not responding. Last check: 2007-10-22)
		A data warehouse is, primarily, a record of an enterprise's past transactional and operational information, stored in a database designed to favour efficient data analysis and reporting (especially OLAP).
		Integration of data from distributed and differently structured databases, which facilitates a global overview and comprehensive analysis in the data warehouse.
		Separation of data used in daily operations from data used in the data warehouse for purposes of reporting, decision support, analysis and controlling.
	www.artisticnudity.com /encyclopedia/Data_warehousing (421 words)

	Idea Group Reference
		Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research.
		Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead.
		The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM).
	www.idea-group.com /encyclopedia/details.asp?ID=4465 (316 words)

	TDAN Smith AM - Data Warehousing and ERP
		But when the enterprise data warehouse needs to go back in time and bring in historical data that has not been previously collected and saved by the ERP, then using the ERP environment as a primary source for the data warehouse is not a viable option.
		As the metadata passes from the ERP to the data warehouse environment, the metadata must be moved and transformed into the format and structure required by the data warehouse infrastructure.
		She is a frequent contributor to the Data Administration Newsletter (http://www.tdan.com) and ITToolbox (http://www.ittoolbox.com), with articles on data warehousing, decision support, metadata analysis and the business aspects of electronic commerce.
	www.tdan.com /i020hy03.htm (1552 words)

	Data Warehousing
		In a data warehouse, data is pre-calculated and stored as a separate unit to answer common queries raised in decision-making.
		Included is a "rant and rave" on the definition of data warehousing.
		Data, Data Everywhere a white paper excerpted in the October 30, 1995 issue of Information Week on selecting the OLAP technology, and
	www.wilsonmar.com /1datawh.htm (1431 words)

	Amazon.com: Books: Oracle8 Data Warehousing (Site not responding. Last check: 2007-10-22)
		Data Warehousing is the ideal A-to-Z guide to building and managing a high-performance data warehouse for veteran Oracle users and newcomers alike.
		It covers the basics of data warehousing, then moves into technical instructions on how to select the appropriate hardware architecture, design the warehouse for optimum performance, build the database, and run it.
		Of all the books I have read on Data warehousing with Oracle this is the one to which I refer the most.
	www.amazon.com /exec/obidos/tg/detail/-/0471199524?v=glance (931 words)

	Data Warehousing: Moving Data Faster (Site not responding. Last check: 2007-10-22)
		However, just copying the Oracle data files is not sufficient; the target database must recognize and import the files and the corresponding tablespace before the tablespace data can become available to end users.
		Data Pump Export and Import are controlled by jobs, which the DBA can pause, restart, and stop at will.
		Data Pump Import fetches the necessary metadata from the source across the database link and re-creates it in the target.
	www.oracle.com /technology/oramag/oracle/04-sep/o54data.html (2367 words)

	Data Warehousing (Site not responding. Last check: 2007-10-22)
		PFN provides data warehousing that is fault tolerant, with a disaster recovery plan in place that protects against natural disaster, equipment failures and human factors.
		This is done, in part, by assuring that data is stored in at least two or more separate locations.
		Warehoused data can be retrieved from archives based on an indefinite amount of parameters, with retrieval and delivery of information available within minutes if necessary, or for less urgent data, within 24 hours.
	www.pfncom.com /datawarehousing.html (171 words)

	Data Warehousing at Stanford: Publications
		"What is data warehousing and what is Stanford doing about it?" An overview talk given in the Stanford DB Seminar series, Fall, 1997.
		"Efficient Snapshot Differential Algorithms for Data Warehousing." In Proceedings of VLDB Conference, Bombay, India, September 1996, pp.
		"Multiple-View Self-Maintenance in Data Warehousing Environments." In Proceedings of the 23rd VLDB Conference, Athens, Greece, 1997.
	www-db.stanford.edu /warehousing/publications.html (887 words)

	TetraData : K-12'S Premiere Data Warehousing and Analysis Solution
		Many districts are struggling with how to transform overwhelming amounts of data into actionable information that will drive improvement at all levels of their organization - from the board room to the classroom.
		A data warehouse brings all your data together in one place where you can explore the relationships over time between things like student achievement and attendance or teachers' professional development and teacher effectiveness.
		TetraData designs breakthrough solutions that include robust data warehousing, data analysis, assessment, and reporting products for state departments of education, K-12 school districts, and private educational organizations.
	www.tetradata.com (353 words)

	Oracle FAQ: Data Warehousing
		ETL is the Data Warehouse acquisition processes of Extracting, Transforming (or Transporting) and Loading (ETL) data from source systems into the data warehouse.
		Data in a multi-dimensional database is stored as business people views it, allowing them to slice and dice the data to answer business questions.
		Data is automatically directed to the correct partition based on data ranges or hash values.
	www.orafaq.com /faqwh.htm (1052 words)

	Data Warehousing (Site not responding. Last check: 2007-10-22)
		Data warehousing is useful when you don't know what questions to ask.
		Data exploration is only useful when non-techies are able to explore.
		There are specialty vendors that have historically made RDBMSes with enhanced features for data warehousing, such as the ability to compute a value based on information from the current row compared to information from a previously output row of the report.
	philip.greenspun.com /sql/data-warehousing.html (7677 words)

	Data Warehousing
		Data Warehousing is one of the major areas of consulting for The Ken Orr Institute.
		The Ken Orr Institute has recently announced a new version of the Ken Orr Enterprise Data Architecture (Version 3) This version shows explicitly the various form of users and providers of data that are involved with the data architecture.
		Most of the layers are roughly the same as our earlier Data Warehousing Technology Whitepaper.
	www.kenorrinst.com /datawh.html (169 words)

	What is data warehouse? - A Word Definition From the Webopedia Computer Dictionary (Site not responding. Last check: 2007-10-22)
		Data warehouses contain a wide variety of data that present a coherent picture of business conditions at a single point in time.
		Development of a data warehouse includes development of systems to extract data from operating systems plus installation of a warehouse database system that provides managers flexible access to the data.
		The term data warehousing generally refers to the combination of many different databases across an entire enterprise.
	www.webopedia.com /TERM/d/data_warehouse.html (449 words)

	Teradata Warehouse (Site not responding. Last check: 2007-10-22)
		Teradata's enterprise data warehouse brings together all of your company's data into a single repository for a completely integrated, 360-degree view of your business -one version of the truth.
		Today, with information available from a variety of data sources such as the Internet, call centers, information kiosks and more, businesses can get their fingers on the pulse of the company very quickly, provided their data is fresh, integrated and their systems perform amidst high utilization and voluminous work load.
		Teradata's expertise in building enterprise-wide data warehousing solutions coupled with our superior technology, allows our customers to measure their data warehousing investment in terms of operational efficiency and improved business value.
	www.ncr.com /solutions/data_warehousing/dataware.htm (400 words)

	Data Warehousing - Computerworld (Site not responding. Last check: 2007-10-22)
		Generation is at the heart of the warehouse infrastructure; most of the effort in a data warehouse project is spent on this process.
		In a data warehouse, the units of measure must be the same in order to get useful analysis results.
		A data mart is a specialized set of business information focusing on a particular aspect of the enterprise, such as a department (human resources) or business process (postsale support).
	www.computerworld.com /databasetopics/data/story/0,10801,43544,00.html (1512 words)

	Data Warehousing at Stanford (Site not responding. Last check: 2007-10-22)
		A data warehouse is a repository storing integrated information for efficient querying and analysis.
		The information is then translated into a common data model and integrated with exisiting data at the warehouse.
		Since query execution does not involve data translation and communication with remote sources, complex queries can be executed easily and efficiently.
	www-db.stanford.edu /warehousing/warehouse.html (236 words)

	DataWarehousing.com - documenting data replication and data transformation sites on the Net
		The first step in creating a healthy data warehouse is getting your data there in the first place.
		In this Fundamentals series of articles, Ralph Kimball works through the foundations of data warehousing, touching on the end user's concerns, the readiness of a business to step up to data warehousing, and what it takes to manage a data warehouse project.
		If you have an article written for the high tech sector and want to reach thousands of data warehousing professionals, submit it to the Editor@datawarehousing.com.
	www.datawarehousing.com (270 words)

	Business Intelligence and Data Warehousing Solutions (Site not responding. Last check: 2007-10-22)
		With over 1200 consultants and over 90 customers in data warehousing and business intelligence, Wipro offers complete "end-to-end" data warehousing and business intelligence services, including on-site business / technical needs assessment, development and integration services and partial or total outsourcing of application implementation and maintenance.
		At Wipro, our success stories in the area of business intelligence and data warehousing span a wide spectrum of solutions and organizations like Nike, Transco, Thames Water and Prudential.
		Learn more about how Wipro leverages its expertise in business intelligence and data warehousing to architect a Customer Management Process and Decision Support System at Vectren Source to quickly launch new products and services and has helped Vectren reduce cost and effort by over 50%.
	www.wipro.com /itservices/datawarehouse (201 words)

	SAS \| Data Integration & ETL
		ETL –; extract, transform, and load data from multiple platforms and sources.
		Data Quality – compare, standardize, and consolidate data to remove inconsistency and redundancy.
		SAS delivers an integrated approach to data quality and metadata management to increase consistency in your data and business rules.
	www.sas.com /technologies/dw (374 words)

	Data Warehousing: A Look at Business Intelligence and Data Warehouse
		This Data Warehousing and Business Intelligence site aims to help people get a good high-level understanding of what it takes to implement a successful data warehouse project.
		This section discusses business intelligence, as wellas the relationship between business intelligence and data warehousing.
		Feel free to contact me about additional information regarding data warehousing that I should include.
	www.1keydata.com /datawarehousing/datawarehouse.html (209 words)

	Data.com - Your start page for data warehousing, database management & content management
		A data warehouse typically represents a "snapshot" or a single consistent state of multiple databases and is organized and optimized for time-series analysis.
		Procedures and tools for combining data from multiple databases and application sources into a single consolidated view.
		Invented by Dr. E.F. Codd, the relational model described the basic principles of relations, tuples, keys, and the independence of data from the physical mechanism used in its retrieval.
	www.data.com (582 words)

	Teradata.com -> Solutions -> Data Warehousing (Site not responding. Last check: 2007-10-22)
		An enterprise data warehouse from Teradata brings together all of your company's data into a single repository for a completely integrated, 360-degree view of your business.
		And with the industry's most experienced data warehousing consultants, Teradata provides the expertise that today's top companies demand.
		Teradata has a long track record of consolidating multiple data marts, eliminating redundant costs, and providing a stronger foundation for business insight.
	www.teradata.com /t/go.aspx/index.html?id=42711 (426 words)

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