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.
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The following Harvard Business Review report explores the current state of data visualisation. Hear from many leading authors on how to leverage data visualisation, and the right times to use it.
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Many organizations have reconsidered their commitments to data modeling in the face of NoSQL and big data systems, as well as XML information management. However, should you really be shifting focus away from data modeling?
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.
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.
EBOOK:
This expert guide divulges essential information on how to use the newest sales tools for customer prospect generation; bolster sales forecasting with data modeling; use location-based apps; and more.
WHITE PAPER:
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.
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.
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.