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Team Process* Data Warehouse Components
Team Process* Data Warehouse Components

... Copyright © 2012-2014 Tuma Solutions, LLC ...
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... examples of DBMS’s. The commercial application of DBMS’s could include the management of products in a supermarket with a way to modify barcodes, product names or delete products from the system. ...
Avogadro`s Number of Particles in a Mole
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... Avogadro's number is such a huge number, and moles are so small, that it is difficult to relate their sizes to common objects. Imagine that a mole is the size of a planet or moon in our solar system. Choose a heavenly body to represent this supersize mole and use Science in Context to find its volum ...
KSL Authoring Systems presentation from the 4/17/03 Site Visit.
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... Strong for relations and breadth of data Leverages work of others Makes use of SQL databases ...
Importance of Information Management in Human Services
Importance of Information Management in Human Services

...  Increase awareness of human services related information  Assist in program evaluation, improvement planning, and making decisions about human service programs  Facilitate collaboration amongst human service organizations  Store information and data for a variety of purposes ...
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A table is a collection of information arranged in rows and columns

... ...
David Gibbs and Govardhan Tanniru Georgia State University Department of Computer Science
David Gibbs and Govardhan Tanniru Georgia State University Department of Computer Science

... for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs. A Reduce function that merges all intermediate values associated with the same intermediate key. The MapReduce system has three different typ ...
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... Databases are BIG! E.g. a new Government database is called COINs: it's 120Gb Recently I've read the following about databases:  “many of today's databases routinely grow into the 100-800 gigabyte (GB) range.”  “databases of 400 GB or more are not uncommon”  “Wal-Mart:- in 2004: at more than 500 ...
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Job Description for BI-DW Architects_0012

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...  Different Access Points make this data available in different ways – HTTP on an internal web server – Telnet – Simple Network Management Protocol (SNMP) ...
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... Backup/Restore is an important element in guarding your database against potential data loss. Data loss can occur in several ways, whether it be hardware (power failures, hard drive crashes, etc.), software (bugs, viruses, etc.) or user oriented (deleting data files, importing bad data, etc.). A muc ...
Algorithms and Data Structures
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... Today, the IT professional continues to have a two-fold responsibility :  Meet Business Requirement ;  The IT pro. must ensure the Enterprise IT infrastructure properly supports a myriad set of requirements from different business users, each of whom has different and constantly changing needs.  ...
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... I want to leverage my skill and experience working with teams  and all aspects of  data, information, and website development towards directing the growth of a business or organization. My approach is systems­based, and considers cradel­to­grave implementations of information management for organiza ...
Chapter 7 Managing Data Resources
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... elements and hoping people use them as intended. Data quality audits can help companies identify the accuracy and completeness of data. Data cleansing can detect and correct data and enforce consistency among different sets of data. This last point is important if an organization has combined severa ...
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... Deploying analytics in the cloud—and at the edge— ensures they are distributed across the business to increase effectiveness with: • Operational analytics that work at the edge—whether it’s on a factory floor, an aircraft engine, a wind turbine, or intelligent connected vehicle—and detect problems, ...
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... Primary keys should be chosen according to the criteria of uniqueness, minimality and not being null. Minimality is important since long primary key will consume storage space and slow the processing associated with primary key, such as joining tables. Sometimes, primary key is replaced by surrogate ...
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... processing becomes an input to obtain tactical information. Strategic information is obtained through what are known as Decision Support Systems (DSS). In the stores example a strategic decision would be to reduce variety in inventory by discontinuing some items in store, deciding what new items to ...
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Access Databases

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oo_80181

... A platform to store, annotate, access and distribute taxonomic treatments and the data objects within. It offers with GoldenGate[1] and respective XML schemas (TaxonX[2], TaxPub[3]) tools to convert unstructured text into ...
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... what is the relative performance of our salespeople? • What are the products making up 40% of our profit for each region over time? ...
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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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