Data Models Reports

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: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

Relational Modeling with UML
sponsored by IBM Software Group
WHITE PAPER: This white paper explains the basic concepts behind relational modeling, how it applies to databases and how it is implemented using UML.
Posted: 20 Jun 2007 | Published: 01 Jan 2003

IBM Software Group

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

How to Get the Most from SAP HANA
sponsored by Arrow and SAP
EGUIDE: In this e-guide, learn how you can master SAP HANA for increased speed of development, speed of realization, flexibility, and more – for the maximum impact on your organization
Posted: 31 Oct 2013 | Published: 31 Oct 2013

Arrow and SAP

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
Posted: 26 Jan 2012 | Published: 19 Jan 2012

Embarcadero Technologies, Inc.

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.

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

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

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

IBM Information Server FastTrack
sponsored by IBM
WHITE PAPER: This white paper describes how IBM's Information Server FastTrack accelerates the translation of business requirements into data integration projects. Data integration projects require collaboration across analysts, data modelers and developers.
Posted: 13 Aug 2008 | Published: 13 Aug 2008

IBM