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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 Modeling Reports
1 - 25 of 125 Matches Previous Page  |  Next Page
Measure And Reduce Your Carbon Footprint With Accurate Logistics
sponsored by BearingPoint
WHITE PAPER: Discover a technology that can help you reduce your carbon emissions by measuring your current footprint, and planning reduction goals based on that model. Read on to discover how you can link transport and shipment data to create a cohesive pool of information, provide on-board systems for accurate data, comply with the newest standards, and more.
Posted: 05 Dec 2016 | Published: 31 Dec 2013

BearingPoint

Rapid Modeling and Prototyping for the Agile Enterprise
sponsored by Metavine
WHITE PAPER: This paper explores how to bring the principles of rapid app development to modeling and prototyping, allowing you to create faster and more efficient workflows. Discover an agile strategy that enhances your ability to model processes and user experience, define business rules and data ontologies, and integrate legacy data and systems.
Posted: 28 Nov 2016 | Published: 22 Nov 2016

Metavine

4 Steps To Deploying A Self-Service Analytics Program
sponsored by Tableau Software
WHITE PAPER: In this white paper, learn 4 important steps to successfully deploying self-service analytics in your organization, including setting up your environment quickly, training your users to be self-reliant, and 2 more.
Posted: 17 Nov 2016 | Published: 17 Nov 2016

Tableau Software

How Semantics Can Help You Organize Unstructured Data
sponsored by MarkLogic
EBOOK: Semantics can provide a powerful and flexible way to model unstructured data in your database. Inside this e-book learn why semantics technology is gaining traction now, as well as how it can help you model and graph linked data. Then, discover some real-world examples of semantics in action.
Posted: 14 Nov 2016 | Published: 14 Nov 2016

MarkLogic

Which Embedded Analytics Tool is Right For You?
sponsored by GoodData
WHITE PAPER: This report from the Eckerson Group helps you sift through the pile of BI vendors and find the one that's right for your company. Inside you'll find 12 criteria for evaluating embedded analytics solutions, as well as 5 strategies for implementing your new program so you can find the best way to put your data to work for you.
Posted: 11 Nov 2016 | Published: 30 Apr 2016

GoodData

The Future of Model Risk Management for Financial Services Firms
sponsored by SAS
WHITE PAPER: This white paper covers the current state of model risk management (MRM) for financial firms, as well as posits some ideas about what the future of financial modeling is going to look like. Inside you'll learn about the impact that new regulatory developments for banks has had on MRM, 5 important new features of modeling technology, and more.
Posted: 10 Nov 2016 | Published: 10 Nov 2016

SAS

Driving the IoT Journey: 10 Trends to Watch
sponsored by PTC
WHITE PAPER: This white paper explores how recent advances in technologies like augmented reality for smartphones will impact the IoT market in the near future. Uncover key projections about interesting opportunities and challenges that will arise for IoT in areas like IoT analytics automation, industrial IoT and smart factories, edge computing, and more.
Posted: 08 Nov 2016 | Published: 30 Jun 2016

PTC

Taking The First Step To Building A Customer Analytics Program
sponsored by SAS
WHITE PAPER: In this whitepaper, discover some best practices to help your marketing department become more analytically driven and create a closer bond with your customers. Inside, learn ways to put relevant data to work for you, employ visual analytics to quickly explore data sets, learn your customer's behaviors with predictive analytics, and more.
Posted: 07 Nov 2016 | Published: 07 Nov 2016

SAS

Bring Your Data Together With Customizable Data Models
sponsored by Pyramid Analytics
WHITE PAPER: Learn about a BI program that gives self-service users the freedom to manage their own data with the helpful guidance of preconfigured models to simplify the data modeling process. Plus discover how to eliminate the risk of building data models in ungoverned environments, how to enhance data model governance and security, and more.
Posted: 04 Nov 2016 | Published: 04 Nov 2016

Pyramid Analytics

Utilizing Data-aware Storage in the Age of Convergence
sponsored by IBM
EGUIDE: Access the latest on converged, data-aware storage architectures, which seek to improve performance optimization through smart deduplication and compression schemes, app-aligned caching and tiering, policy-definable QoS, and data protection schemes. Additionally, discover why flash is crucial to convergence.
Posted: 03 Nov 2016 | Published: 27 Oct 2016

IBM

How BI Technology Can Make Analytics Available To All Levels of Business
sponsored by Pyramid Analytics
WHITE PAPER: In this white paper learn about BI software that puts analytics back in the hands of the users. Discover how you can easily conduct advanced analytics like predictive modeling and time-series analysis, enable email alerts when important changes are made to your data, build your own custom models alongside IT curated ones, and more.
Posted: 03 Nov 2016 | Published: 03 Nov 2016

Pyramid Analytics

Top 10 Reasons Why I Switched to ER/Studio
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: In this white paper, Ron Huizenga, a 30 year veteran IT consultant outlines 10 reasons he chose to use ER/Studio to design his database including the existence of true multi-level sub-models, clear separation between logical and physical models, the ability to simply reverse engineer data models from an existing database, and more.
Posted: 25 Oct 2016 | Published: 25 Oct 2016

Embarcadero Technologies, Inc.

Quantifying The Costs of Data Modeling
sponsored by Embarcadero Technologies, Inc.
EBOOK: Use this e-book by 30 year industry veteran Tom Haughey to help quantify the benefits of data modeling. Learn 3 ways to calculate the ROI data modeling provides, 7 long-term benefits of improved modeling techniques, 5 costs to consider when building a data modeling team, and more.
Posted: 24 Oct 2016 | Published: 24 Oct 2016

Embarcadero Technologies, Inc.

Visualizing the Future of Big Data and Predictive Analytics
sponsored by SearchDataManagement
EZINE: Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.
Posted: 06 Oct 2016 | Published: 06 Oct 2016

SearchDataManagement

Top 4 Reasons to Adopt Data Lifecycle Management
sponsored by Iron Mountain
WHITE PAPER: This white paper examines the top 4 reasons why you must focus on deploying data lifecycle management as a strategic initiative. It also explores where and how to use specific solutions, along with the benefits of working with a partner that can offer a comprehensive approach to data lifecycle management.
Posted: 05 Oct 2016 | Published: 31 Aug 2016

Iron Mountain

Veritas Enterprise Vault Health Check Tool: Monitor, Analyze and Report on Areas of Critical Importance
sponsored by Globanet Veritas
DATA SHEET: This data sheet highlights an enterprise vault health check tool that provides automated Veritas Enterprise Vault archive analysis and reporting to help with the performance and integrity of your key data archives.
Posted: 29 Sep 2016 | Published: 31 Dec 2015

Globanet Veritas

The Clearwell eDiscovery Platform Optimized
sponsored by Globanet Veritas
DATA SHEET: This resource examines the e-discovery platform that is used by Charles Schwab, GlaxoSmithKline, New York State Attorney General, Royal Bank of Canada, Toyota and the USDA. Learn about potential benefits such as accelerated document processing, new levels of transparency, and more.
Posted: 29 Sep 2016 | Published: 30 Jun 2016

Globanet Veritas

Intelligent Load Balancing for Journaling Infrastructures
sponsored by Globanet Veritas
DATA SHEET: Journaling in organizations suffers from archiving performance and backlog issues and duplicate indexes. This data sheet details new journaling technology that allows organizations to reduce their journaling to just a single set of centralized or regional journal mailboxes without multiple journal mailboxes and archiving tasks in each location.
Posted: 28 Sep 2016 | Published: 29 Jul 2016

Globanet Veritas

Data Visualization Best Practices Guide
sponsored by Yellowfin
WHITE PAPER: Explore how to best present your data in an easily consumable way from choosing the right chart type to clarifying what your insights mean. You'll learn: which color schemes are best for displaying sequential metrics how to direct attention to critical insights when to deliver insights to decision-makersAnd more.
Posted: 16 Sep 2016 | Published: 16 Sep 2016

Yellowfin

10 Things to Consider When Embedding Analytics into Applications
sponsored by Birst
WHITE PAPER: This white paper by BI and analytics expert Wayne Eckerson, of Eckerson Group, outlines the 10 steps you can take to successfully streamline your enterprise's BI, including how to create an effective pricing strategy, design your dashboard to support customer workflows, and more.
Posted: 12 Sep 2016 | Published: 31 Aug 2015

Birst

The Economics of Building Versus Buying BI Analytics
sponsored by Birst
WHITE PAPER: This white paper explains why it is ultimately more useful to embed commercial software to keep up with the rising tide of demands for different and more intuitive BI analytics. You'll learn how to cut costs in your analytic budget through the use of external analytics programs.
Posted: 09 Sep 2016 | Published: 31 Mar 2016

Birst

Achieving a Next-Gen Business Strategy in the Cloud
sponsored by Infor
WHITE PAPER: This resource discusses deploying a ready-to-run ERP cloud platform. With such a deployment you can achieve streamlined management of, and deep visibility into, every aspect of your business.
Posted: 07 Sep 2016 | Published: 30 Jan 2015

Infor

How to Narrow Down Your Choices for Buying a Data Governance Tool
sponsored by Veritas
EGUIDE: In this expert e-guide, we explore key evaluation factors for selecting the right data governance tool to suit the needs of your organization. Find out which metrics matter most when it comes to picking your tool, like handling metadata objects, managing data quality, addressing unstructured data, and more.
Posted: 10 Oct 2016 | Published: 05 Oct 2016

Veritas

Put Spark to Work with IBM Platform Conductor for Spark
sponsored by IBM
WEBCAST: In this webcast, see a demonstration of one analytics processing software and how it works in conjunction with an end-to-end enterprise solution to give your organization the ability to deploy, manage and run multiple instances on a shared infrastructure from a single interface.
Posted: 04 Oct 2016 | Premiered: Mar 16, 2016

IBM

Leveraging Predictive Analytics to Foresee Future Purchasing Behaviors
sponsored by Intel Corporation
CASE STUDY: This Hadoop-big data case study explores how a major supplier of household electronic appliances strategically approached their big data and predictive analytics needs. Find out how they created secure predictive models to answer critical business questions about buyer behavior so that they could identify the likelihood of future purchases.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Intel Corporation
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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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