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Data Modeling

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DEFINITION: Also see: Unified Modeling Language (UML).Data modeling is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is a first step in doing object-oriented programming. As a result of data modeling, you can then define the classes that provide the templates for program objects.A simple approach  … 
Definition continues below.
Data ModelingReports
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SAP CRM Rapid Deployment Solution
sponsored by SAP America, Inc.
RESOURCE CENTER: See how the SAP CRM Rapid Deployment Solution – helps organizations to get essential CRM capabilities, quickly at an affordable price and provides customers options to grow as their businesses grow
Posted: 23 Mar 2011 | Published: 23 Mar 2011

SAP America, Inc.

Presentation Transcript: Visualize the Power of Your Data
sponsored by CA ERwin from CA Technologies
PRESENTATION TRANSCRIPT: Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this transcript featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.
Posted: 25 Feb 2011 | Published: 25 Feb 2011

CA ERwin from CA Technologies

Visualize the Power of your Data - with Data Models
sponsored by CA ERwin from CA Technologies
WEBCAST: Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this expert webcast featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.
Posted: 25 Jan 2011 | Premiered: Feb 9, 2011, 13:00 EST (18:00 GMT)

CA ERwin from CA Technologies

New Intelligence for a Smarter Planet for CIOs
sponsored by IBM India Pvt. Ltd
VIDEO: How do we make sense of rapidly growing amounts of business data? IBM is helping CIOs take control of their data and turn it into not just organized information, but actionable intelligence. Access this video to learn more.
Posted: 13 Dec 2010 | Premiered: 13 Dec 2010

IBM India Pvt. Ltd

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WEBCAST: Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
Posted: 20 Oct 2010 | Premiered: Jul 22, 2010

CA ERwin from CA Technologies

The Return on Investment (ROI) of Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Without a clear understanding of the meaning and rules around this data, business decisions can be negatively affected. Data modeling is a time-proven method for understanding data, its interrelationships and its rules. Data management professionals have long understood the value of data modeling.
Posted: 19 Oct 2010 | Published: 01 Mar 2010

CA ERwin from CA Technologies

Ten Things to Avoid in a Data Model
sponsored by CA ERwin from CA Technologies
WHITE PAPER: The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid — from both the strategy and detail perspective.
Posted: 19 Oct 2010 | Published: 01 Aug 2010

CA ERwin from CA Technologies

ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Learn how Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed. Continue reading to learn more.
Posted: 19 Oct 2010 | Published: 01 Jun 2010

CA ERwin from CA Technologies

Oracle Introduces Oracle Communications Data Model
sponsored by Oracle Corporation
PODCAST: Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution.
Posted: 01 Oct 2010 | Premiered: Oct 1, 2010

Oracle Corporation

Fast Tracking Data Warehousing & BI Projects Via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WEBCAST: In this webcast, you’ll learn from BI and enterprise modeling expert, Claudia Imhoff how intelligent data modeling practices to design and deliver superior BI faster, the characteristics and benefits of intelligent data modeling, How to promote the use of data models to fast-track data warehouse and BI projects, and more.
Posted: 03 Sep 2010 | Premiered: Sep 3, 2010

Embarcadero Technologies, Inc.

Accelerating Application Deployment with InfoSphere Foundation Tools
sponsored by IBM
WHITE PAPER: Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.
Posted: 16 Aug 2010 | Published: 13 Aug 2010

IBM

Get Analytics Right from the Start
sponsored by Sybase, an SAP company
WHITE PAPER: Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.
Posted: 05 Aug 2010 | Published: 05 Aug 2010

Sybase, an SAP company

Combining Data Profiling and Data Modeling for Better Data Quality
sponsored by CA ERwin®
WHITE PAPER: The combination of data profiling and data modeling is crucial for maintaining the quality of the information that drives your business decisions. Read this paper for more information about solutions that increase the quality fo your critical data assets, increase TCO, and enable consistent visibility into existing and legacy database environments.
Posted: 08 Jun 2010 | Published: 02 Nov 2009

CA ERwin®

The Benefits of Data Modeling in Business Intelligence
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Through data modeling of BI systems, we can meet many of today’s data challenges. Through logical and physical modeling of business intelligence systems, we can enable the delivery of the correct business information to business users. Read this paper to learn more.
Posted: 08 Jun 2010 | Published: 30 Oct 2009

CA ERwin from CA Technologies

Driving Strategic Planning with Predictive Modeling
sponsored by Oracle Corporation
WHITE PAPER: Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.
Posted: 18 May 2010 | Published: 18 Jul 2008

Oracle Corporation

Applying Business Analytics Webinar Series - Confident Predictions. Accurate Results.
sponsored by SAS
WEBCAST: Learn how to easily gain profitable data mining results in less time and improve accuracy and usefulness of analytical models during this Webinar. You’ll find out how to deliver precise and confident results, manage and improve model performance, and derive and share insights to improve the quality and precision of your decisions.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

SAS

Applying Business Analytics Webinar Series - Got Bad Data? Part 3
sponsored by SAS
WEBCAST: Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

SAS

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

Replication for Dummies
sponsored by Sybase, an SAP company
EBOOK: IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.
Posted: 08 Mar 2010 | Published: 05 Mar 2010

Sybase, an SAP company

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for these design components. This paper will examine the major benefits that data models have on BI environments.
Posted: 11 Feb 2010 | Published: 11 Feb 2010

Embarcadero Technologies, Inc.

Explore Your Business at the Speed of Thought
sponsored by SAP America, Inc.
WHITE PAPER: This paper explores the problems of bringing BI to everyone in the enterprise without heavily relying on IT, and presents a solution for this very problem. Read on to learn how SAP® BusinessObjects™ Explorer solution will solve your BI visibility problems.
Posted: 01 Feb 2010 | Published: 01 Feb 2010

SAP America, Inc.

Advance Your Data Management: Reduce Cost and Risk through the effective and efficient Management of Master Data
sponsored by Atos Origin
WHITE PAPER: Effective and efficient management of master data within the manufacturing sector is a key factor in reducing TCO, providing accurate global spend analysis and improved reporting and decision making. Implementing SAP's Master Data Management solution into an organization enables the backbone of a complete data governance model to be established.
Posted: 04 Nov 2009 | Published: 04 Nov 2009

Atos Origin

Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management
sponsored by Embarcadero Technologies, Inc.
PRESENTATION TRANSCRIPT: In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 19 Oct 2009 | Published: 19 Oct 2009

Embarcadero Technologies, Inc.

Full Demo: IBM Cognos 8 Business Intelligence
sponsored by IBM
PRODUCT OVERVIEW: Complete capabilities in one product, on a single architecture. See key features for both business and IT users, including Framework Manager, the Administration Console, and integration with Microsoft Excel.
Posted: 06 Oct 2009 | Published: 06 Oct 2009

IBM

How to write a RFP for Master Data Management: 10 Common Mistakes to Avoid
sponsored by Siperian, Inc.
WHITE PAPER: Critical master data management (MDM) functionality can be easily overlooked when request for proposals (RFPs) are narrowly focused on a single business data type. Ensure success by avoiding 10 costly mistakes when writing your RFP.
Posted: 16 Sep 2009 | Published: 01 Sep 2007

Siperian, Inc.
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DATA MODELING DEFINITION (continued): …  to creating a data model that allows you to visualize the model is to draw a square (or any other symbol) to represent each individual data item that you know about (for example, a product or a product price) and then to express relationships between each of these data items with words such as "is part of" or "is used by" or "uses" and so forth. From such a total description, you can create a set of classes and subclasses that define all the general relationships. These then become the templates for objects that, when executed as a program, handle the variables of new transactions and other … 
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