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:
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:
This white paper focuses on the use of a log-based, real-time change data capture (CDC) solution to enable real-time reporting using a low overhead solution that minimizes the impact on IT infrastructure.
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.
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:
This paper, intended for both IT and operational management, explores a series of high-level best practices for analytics and data warehousing based on Sybase’s experience with successful implementations. Suggestions are provided in three categories: performance, cost control, and ease-of-deployment with each dimension broken down into sub-topics.
WEBCAST:
Data warehousing and business intelligence (BI) have evolved. Learn about a cost-effective data warehouse system with advanced analytics that delivers high performance and flexibility to address changing business needs.
TRIAL SOFTWARE:
Providing a targeted Search solution to each individual user in a Notes/Domino Domain is a difficult proposition. See how to do this effectively, with minimum administrator input and no drain on server resources.
CASE STUDY:
Read this paper to learn how AT&T utilized Informatica Data Archive to bring its database growth under control and improve application performance by reducing the amount of total storage required as well as trimming the amount of time required to load and back up its application data sets.
