This brief e-guide explores the notion that data quality issues are worse in real-time data integration applications versus batch-oriented techniques. In the form of two articles, this resource serves up options for real-time integration, touches on the concerns associated with it and outlines the proper steps required to address data quality. 

Database-as-a-Service (DaaS) applications allow companies to host their databases in the cloud as a cost-effective way to manage their data. This brief white paper outlines CA Erwin Data Modeling's role in cloud computing, including its benefits. 

You can consolidate all data warehousing and analytical processing using Oracle Exadata. With its integrated analytics, there are no more slow data loads and everything is run off your data warehouse, no matter how much data you have. Watch this video and learn how to get up-to-date information faster while managing all of it in one place. 

Thinking of launching a data warehousing project? Learn how the University of Connecticut Health Center (UCHC), a leading biomedical research center, healthcare facility, and medical school, achieved end-to end automation of data integration and data loading processes from internal and external data sources to ensure consistent, accurate reporting. 

The IBM Information Management portfolio offers a complete set of solutions designed to help you not only manage your data, but also master it. Read on to learn more about: Data management, information integration, data warehousing and more. 

This white paper presents two case studies that illustrate how Oracle Exadata increased storage capacity for data warehouses by 150%, reduced operational and database running costs by 50% and on average improved database query performance by 10 times. 

This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs. 

Organizational trust in data may be the single largest barrier to business intelligence (BI) success in the health care industry today. Access this resource to learn how an automated enterprise job scheduler and automated process optimization tools can ensure that your data is accurate and consistent. 

While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users. 

Businesses are experiencing a growing demand to move high volumes of data both internally and externally. File transfer protocol (FTP) servers are proliferating among individual departments and raising traffic levels with customers and suppliers. This white paper explains and explores the opportunity and benefits of FTP consolidation. 

This HP/Microsoft white paper explains how their fast track data warehouse architecture can help you make the decision for hardware selection and configuration. HP and Microsoft working collaboratively can help you obtain the information to successfully integrate your data warehouse. 

This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.