Big Data and Business Intelligence: How They Come Together
Big data is growing fast as organizations devote technology resources to tapping the terabytes (if not petabytes) of data flowing into their organizations and externally in social media data and other sources. What does this all mean for business intelligence (BI) users and systems? With all the attention on advanced analytics for big data, what’s the play for BI?
Integrating advanced analytics for big data with BI systems is an important step toward gaining full return on investment. Advanced analytics and BI can be highly complementary; advanced analytics can provide the deeper, exploratory perspective on the data, while BI systems provide a more structured user experience. BI systems’ richness in dashboard visualization, reporting, performance management metrics, and more can be vital to making advanced analytics actionable.
This TDWI Webinar will discuss how to bring big data technologies, advanced analytics, and BI together. The session will examine their differences as well as complementary qualities. It will also discuss technologies such as visualization, real-time analytics, in-memory and in-database analytics that are important to BI as well as big data..
In this Webinar, you will learn:
- How advanced analytics for big data can complement BI systems and expand their power
- The importance of BI data discovery and in-memory technologies for tapping big data
- How BI systems can work with sources such as Hadoop, NoSQL stores and other big data technologies
- The role of advanced analytics for performance management metrics and real-time insights