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DATABASE ESSENTIALS
DATABASE ESSENTIALS

... forms, but typically only the first three are applied, because that is usually all that is required. The following is a summary of the first three normal forms: (on paper).  Before normalizing a database and defining fields for the efficient storage of data in tables, it’s important to know where your d ...
3-D Reconstruction in Radiology
3-D Reconstruction in Radiology

... reasonable time. In 1993 Elscint Inc., introduced the first multi-detector row CT (MDRCT) which allowed the acquisition of two spiral slices simultaneously. It was the only MDRCT for 5 years, then several manufacturers introduced 4 rows of detectors, which gradually evolved to 8, 16, 40 and now 64 r ...
The Scope and Language of Operations Management
The Scope and Language of Operations Management

... Elementary statistics Advanced statistics Product design and reliability Measurement Process control Process improvement Implementation and teamwork ...
Big Table in Plain Language
Big Table in Plain Language

... This structure allows key information to “live” in separate tables. Key tables are then “related” to each other through a function called a “Foreign Key.” With the two tables related, it is a very simple matter to create “joins,” where data form one table is joined with another. This is the magic of ...
Databases, Data, and Information
Databases, Data, and Information

... MRP II with the information flow across an organization to manage and coordinate the ongoing activities of the enterprise, including product planning, manufacturing and distribution, accounting and finance, sales, human resources, and customer support ...
SUGI 27: IDW -- The Next Generation Data Warehouse
SUGI 27: IDW -- The Next Generation Data Warehouse

... Data that is collected, transformed, mined and reported in a first generation Data Warehouse is, by definition, historical, static and in today’s market old news. The primary function of this data is to manage the business with after the fact information. One reason that Data Warehouse projects fail ...
CRSP SuRvivoR-biaS-fRee uS mutual fund databaSe January 2010 quarterly update
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Integrating Star and Snowflake Schemas in Data Warehouses
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... contrast to transactional systems, which focus on keeping operational data current. Typical applications of DWs can be found in areas such as decision support, data mining, market research and fraud detection. The way DWs are employed has an impact on the data access patterns. Data analysts sift thr ...
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The required equipment is a modified MS.
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Statistics MINITAB
Statistics MINITAB

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What is Data Warehouse?
What is Data Warehouse?

... and/or a dimension has a very long list of attributes which may be used in a query, the dimension table may occupy a significant proportion of the database and snowflaking may be appropriate. - A multidimensional view is sometimes added to an existing transactional database to aid reporting. In this ...
The Need for Information Loss Metrics in Visualization
The Need for Information Loss Metrics in Visualization

... techniques is that the user is not necessarily able to trust what he sees on screen [1]. This may sound contradictory because the very goal of visualization is to augment the trust of the user with visual aid and thereby move the analysis forward in an intelligent manner. This factor is often ignore ...
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Who`s your Data Matt Raymond

... other staff members. The reason for holding so many positions is the analytical side and thinking that goes into it. This person will also have to be a team player. ***Story about the Shepard and the Major*** What are the benefits of doing this in house? ...
Ch 10 - Databases - The Astro Home Page
Ch 10 - Databases - The Astro Home Page

... accuracy of primary key value ...
KDDCUP Survey - Department of Computer Science and Engineering
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... from unauthorized users, including perhaps insiders Data: from DoD Winners  SAS Institute Inc. with their software Enterprise Miner.  Amdocs with their Information Analysis Environment ...
Information Processing Across the Sciences
Information Processing Across the Sciences

... be used to derive other fundamental laws such as Newton’s F = ma in classical mechanics, and the Schroedinger equation in quantum mechanics. Such an unusual perspective yields new insights about several central concepts in physics such as the nature of time and the phase of the wave function, but pe ...
Securing Mission- Critical Mobile Devices and Data
Securing Mission- Critical Mobile Devices and Data

... federal agencies must address mobile security early and often, and consider better, more effective ways to deliver public service for the future. Until now, much of the focus has been on securing mobile applications, leaving business and mission-critical mobile devices and data open to malicious att ...
Analysis Services Schema Rowsets | Microsoft Docs
Analysis Services Schema Rowsets | Microsoft Docs

... Schema rowsets are predefined tables that contain information about Analysis Services objects and server state, including database schema, active sessions, connections, commands, and jobs that are executing on the server. You can query schema rowset tables in an XML/A script window in SQL Server Man ...
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... deciding on the appropriate tables, attributes and relationships, to satisfy a given set of requirements. This is a two-part process: 1) Information-level design and 2) physicallevel design. The set of requirements are split into user views, i.e. the requirements for a particular user. Data Model – ...
Scalable, Large Storage Resource Pool
Scalable, Large Storage Resource Pool

... FusionStorage stores a piece of data with several identical copies on different servers or disks. Therefore, failures of a single hardware device do not interrupt services. Furthermore, FusionStorage employs strongconsistency replication technology to ensure data consistency between data copies. Dat ...
Chapter 4 - Internal Controls In IT Systems
Chapter 4 - Internal Controls In IT Systems

...  Introduction To Internal Controls For IT Systems. It is important to consider possible threats that can disrupt or stop IT systems, and to implement controls that can help prevent these threats. It is important to understand general and application controls, the nature of risks in IT systems, and ...
Detecting and Explicating Interactions in Categorical Data By
Detecting and Explicating Interactions in Categorical Data By

... categorical analysis when they are interested in whether members of one group (e.g., males vs. females) differ in the proportion falling into two or more levels of a dependent variable (e.g., in favor of or opposed to sex education in public schools). In this case, the data can be expressed as a two ...
Database Vs Data Warehouse
Database Vs Data Warehouse

... information for decision making. The necessity to build a data warehouse arises from the necessity to improve the quality of information in the organization. The date proceeding from different sources, having a variety of forms – both structured and unstructured, are filtered according to business r ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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