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Data Modeling Research

  • Linking Master Data Management to Big Data

    Sponsored by: IBM

    How does Master Data Management (MDM) impact big data, and vice versa? In this e-guide, Gartner Research vice presidents Andrew White and John Radcliffe, and founder and chief research officer with the MDM Institute, Aaron Zornes, share their insights and advice on leveraging MDM tools and strategies to combat big data and other trends.

  • Mastering SAP HANA Data Modeling for Maximum Performance

    Sponsored by: HP and CenturyLink Technology Solutions

    SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.

  • How to Get the Most from SAP HANA

    Sponsored by: Arrow and SAP

    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

  • Getting Started with Master Data Management

    Sponsored by: SearchDataManagement

    Master data management (MDM) can help companies make better use of their corporate data by ensuring that iformation is accurate and consistent across all systems. In this e-book, gain best practices and expert tips and advice on how to successfully structure and manage MDM programs.

  • Get Rapid Insights From Your Marketing Data

    Sponsored by: SAP

    Many marketing teams struggle with the inability to access the data they need quickly and easily. Watch this video to learn about a data visualization software that can help you gather, analyze, and present marketing data to solve your most pressing business questions.

  • Choosing visual properties for successful visualizations

    Sponsored by: IBM

    In the following article, IBM experts address a key aspect in the design process.

  • Service Management: Taking Business to the Next Level

    Sponsored by: LabTech Software

    In this e-guide, gain essential knowledge of recent developments around IT services. Read on to learn why success entails more than delivering snazzy services, and why enterprise architects are working to bring SOA and master data management (MDM) efforts together.

  • SAP predictive analysis: What you need to know

    Sponsored by: HP Inc

    Read on to find details about SAPs BusinessObjects Predictive Analysis, including how the NBA used HANA to help cater to stat-hungry fans.

  • Technical Visualization Workload Optimization

    Sponsored by: Adaptive Computing

    Discover how a private technical compute cloud can help your business provide access to remote, full 3D technical visualization and rendering capabilities that can help to enhance collaboration and productivity.

  • Business Oriented Information Architecture

    Sponsored by: Sybase, an SAP company

    This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.

  • Sybase PowerDesigner for information architecture

    Sponsored by: Sybase, an SAP company

    This paper explains how modeling information architecture (IA) can help reduce the costs associated with data management. Read this now and learn about the benefits of implementing IA and how Sybase's option offers modeling support for database design and enterprise architecture.  

  • Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine

    Sponsored by: Oracle Corporation

    By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.

  • Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling

    Sponsored by: Embarcadero Technologies, Inc.

    In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.

  • Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures

    Sponsored by: Embarcadero Technologies, Inc.

    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.

  • IBM InfoSphere Data Architect V7.6

    Sponsored by: IBM

    IBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.

  • Tip Guide: Five goals for implementing Oracle Business Intelligence Applications

    Sponsored by: SAP America, Inc.

    Oracle Business Intelligence Applications (OBIA) can give organizations deeper analytical views into their business performance. In this tip guide, readers will learn about five key areas organizations should focus on when implementing OBIA.

  • Tip Guide: Case History: How DCM helped one global company improve customer service everywhere

    Sponsored by: IBM

    This tip guide continues ebizQ.com's exploration of best practices in architecture and other aspects of case management. Inside, learn how one global institution built a dynamic case management (DCM) architecture to better serve its customers all over the world.

  • E-Guide: Business intelligence: Paving the way for innovation

    Sponsored by: SAP America, Inc.

    Business intelligence and predictive analytics have the potential to revolutionize the way CIOs make decisions and align IT with business goals. By collecting valuable data, CIOs can promote innovative change. Inside this exclusive e-guide, learn how New York City Housing Authority’s CIO used BI and predictive analytics to do just that.

  • A Usability Comparison of the Top Three Data Modeling Tools

    Sponsored by: CA ERwin from CA Technologies

    Read this white paper to get a comparison of data modeling tools.

  • The secrets of highly effective data governance programs

    Sponsored by: Pitney Bowes Group 1 Software

    The first key to a successful data governance program is ensuring user and organization expectations. To find out more secret advice for highly effective data governance programs read this expert e-Book. Our editorial team has gathered tips, techniques and best practices to plan a successful data governance plan.

  • Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling

    Sponsored by: Embarcadero Technologies, Inc.

    Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.

  • Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine

    Sponsored by: Oracle Corporation

    By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.

  • ERwin in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations

    Sponsored by: CA ERwin from CA Technologies

    Cloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. Read this white paper to find out more about this exciting new technology.

  • Improving Data Quality Through Data Modeling

    Sponsored by: CA ERwin from CA Technologies

    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.

  • Ten Things to Avoid in a Data Model

    Sponsored by: CA ERwin from CA Technologies

    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.

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