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.
WEBCAST:
This webcast takes a look at how organizations can consider analytics from two perspectives – the science of analytics and the art of how people apply this science in new and creative ways to make the world better.
WEBCAST:
Learn how you can open up new ways to interact with business content and applications from across the enterprise with NetWeaver Enterprise Search.
Posted: 02 Aug 2007 | Premiered: Aug 2, 2007, 09:00 EDT (13:00 GMT)
WHITE PAPER:
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.
CASE STUDY:
NASDAQ, which became the world's first electronic stock market in 1971, and remains the largest U.S. electronic stock market, is constantly looking for more-efficient ways to serve its members.
WHITE PAPER:
NoetixViews transforms the complexity of the Oracle E-Business Suite database into recognizable business views of data that are used to create operational reports and ad hoc queries. NoetixViews enables faster, easier and more cost-effective access to information stored in the Oracle E-Business Suite data structure. Read this paper to learn more.
WHITE PAPER:
In large networks, the sheer number of permission settings makes it almost impossible to gain a clear overview of overall security, and checking that all those permission are in compliance with corporate and regulatory standards is a Herculean task.
WHITE PAPER:
Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.
EGUIDE:
Nearly two-thirds of manufacturers use time-consuming, unreliable spreadsheets for their business analytics, and many say the information is stale or unreliable, leading to time consuming, costly mistakes for companies. In this tip guide, readers will learn more about the shortcomings of manufacturing analytics.
