WHITE PAPER:
Reporting is recognized as a way for companies to improve service, ensure quality, control costs, and prevent losses by empowering decision-makers throughout the organization. This paper will explain why reporting is one form of business intelligence that has become business-critical.
WHITE PAPER:
Find out how Embarcadero's DB Optimizer can help you to quickly discover and fix problematic SQL statements that can cause performance bottlenecks in your database. DB Optimizer gives you the flexibility of using a single easy-to-use IDE to test, profile and tune SQL.
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Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces. Its becoming the fastest way for people to explore and understand Business Intelligence data of any size. This paper will introduce you to the seven essential elements of true visual analytics applications.
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Technical white paper covering the impact of XML on data warehousing and how to deliver new levels of business analysis and bring users closer to their data.
WHITE PAPER:
Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place, built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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.
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This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
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.
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.