NASCAR needed a way to view their customer experiences as a conversation to directly understand and track data about their organization and customer relationships. in this short video learn about the solution NASCAR chose to handle their big data analytics and discover why this option may have a place in your organization.
This resource explains how you can replicate changes from an Oracle database to an SQL Server, maintaining real-time images of the source tables or subsets of tables for all your data analytics needs.
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.
Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
Businesses are constantly producing complex that needs to be analyzed quickly for critical business needs and decisions. Watch this videocast to learn how Specialty Analytics Servers outperform traditional transaction processing systems in managing the deluge of data and information that is swamping businesses all around the world.
Read this product datasheet to learn how this data management tool helps organizations harness the value of their IT investments and improve business operations by providing continuous access to business-critical information in real time.
In-memory analytics technology is impressive, but is it really necessary right now for small to midsize businesses (SMBs)? Would an investment provide a true competitive advantage? And what are some ways it be leveraged? Read this e-guide to find expert insight on these questions and get the inside scoop on the rise of in-memory technology.
Access this paper today and learn more about the successful deployment of GoldenGate real-time data replication against Oracle's internal E-Business Suite and auxiliary systems. In addition, find recommendations for how to architect and configure the tool, as well as before-and-after quantitative findings.
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