WHITE PAPER:
Learn how alternative methods for replicating changes from an Oracle database to a Hadoop cluster can help you maintain real-time or a near real-time copies of the tables your organization needs to meet its data analytics requirements in this brief from Dell.
WHITE PAPER:
In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
WHITE PAPER:
Read this comprehensive white paper now to learn more about real-time business intelligence (BI) and the benefits of implementing agile BI into your current BI strategy.
EBOOK:
This expert handbook offers practical advice that will help your organization evaluate, plan, and manage a real-time business intelligence (BI) and analytics deployment.
EBOOK:
This e-book offers IT, business intelligence (BI) and analytics managers tips on building a business case for real-time analytics and also for avoiding potential pitfalls that can trip you up during the implementation stage.
WHITE PAPER:
This paper introduces SAP In-Memory Computing technology concepts, explains how SAP HANA uses them to help deliver real-time business insight, and describes how synergies with Intel architecture-based server platforms drive solution value.
WHITE PAPER:
This white paper addresses the business reasons to move to real-time data warehousing and describes the common data integration approaches, with an emphasis on using real-time CDC capabilities and Oracle’s data integration offerings in that area -- including Oracle GoldenGate 11g and Oracle Data Integrator Enterprise Edition 11g.
WHITE PAPER:
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.