WHITE PAPER:
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
WEBCAST:
Tune in to this Webinar to find out how to improve key data areas through data quality profiling and provide decision makers with trustworthy information. You’ll learn how to apply analytics to your reliable, high-quality data and come away with insights that optimize your organization’s decision-making capabilities.
WHITE PAPER:
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
ANALYST REPORT:
This report describes how organizations are attempting to improve specific decisions. Most analyses of decision-making address single capabilities, such as technology, leadership, or group process. In this research, the topics addressed were more comprehensive - the idea being to understand which improvements were used most frequently.
WEBCAST:
In this 40 minute webcast, listen to Oracle's Marie-Anne Neimat introduce the Oracle TimesTen In-Memory Database. Learn why people use in-memory database (it's all about low latency) and how this technology can accelerate existing Oracle Database applications as well as new applications.
TRIAL SOFTWARE:
Toad™ for SQL Server Xpert is a powerful tool that makes SQL development faster and database administration easier. Its capabilities ensure that SQL is optimized for maximum performance.
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:
Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
