WHITE PAPER:
This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
WHITE PAPER:
Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs.
WHITE PAPER:
With more and more sensitive data moving from file servers to SharePoint sites, it's important to keep a close eye on what users can access documents, what users have permissions to change the SharePoint sites, and what documents are getting modified.
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.
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.
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.
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:
Access this white paper to learn the benefits of advanced data mining, including a greater return on investment. It offers practical guidance for incorporating additional data types and sources, expanding the scope of data mining projects and deploying results more effectively throughout your organization.