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.
WHITE PAPER:
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.
WHITE PAPER:
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.
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.
WHITE PAPER:
This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
EGUIDE:
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.
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.
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.
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.
PRESENTATION TRANSCRIPT:
This presentation transcript features speaker Evan Levy, partner and co-founder of Baseline Consulting, a professional services firm concentrating on enterprise data issues. This discussion is about data quality and some of the challenges and pitfalls that are seen during data quality implementation.
