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 explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
WHITE PAPER:
You must ensure that the processes that move data from source to target systems run smoothly and quickly and that any errors are identified and resolved rapidly. This white paper takes a closer look at five common BI and ETL process management challenges that companies must address to deliver accurate data in a timely manner.
WHITE PAPER:
In this white paper, Philip Howard reviews the current market for data integration platforms, paying particular attention to open source offerings from Talend.
EGUIDE:
With pressure on IT budgets, interest in open source data integration technology is growing yet implementations of open source data integration tools are rare compared with commercial deployments. Read this e-guide and learn to address such limitations and make open source data integration an attractive, lower-cost option for your organization.
EBOOK:
Whether or not you already have a set of ETL and Data Integration tools, this checklist will help you assess high-performance ETL solutions for data integration that stands up to today's challenges.
ANALYST REPORT:
Since the beginning of the industrial age, company leaders and managers have sought to predict, plan, and control company performance. This recent research conducted by DecisionPath Consulting examines the adoption of BPM and BI to drive performance and profits.
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.
