Big Data Analytics
Type:
On-Demand Webinar
Length:
63:55 Big data analytics is where advanced analytic techniques operate on big data sets. Hence, big data analytics is really about two things – big data and analytics – plus how the two have teamed up to create one of the most profound trends in business intelligence (BI) today.
There’s a lot to big data analytics, and there’s much to know before you embark on a program for it. First, you have to know the available tool types and development methods for advanced analytics. Second, there are many approaches to preparing data for analytics. And, third, you need to know which database platforms can handle big data. Furthermore, big data analytics is challenging, so you shouldn’t adopt it for just any reason. So you need to know its most successful use cases, plus how these address particular business requirements.
This webinar (based on a recent TDWI Best Practices report) provides an overview of products, organizational structures, and best practices for big data analytics, so that user organizations can enter this field successfully.
In partnership with: 
Featured Speaker(s):
Philip Russom
Senior Manager, TDWI Research
Philip Russom is the senior manager of research and services at The Data Warehousing Institute (TDWI), where he oversees many of TDWI’s research-oriented publications, services, and events. Prior to joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group, as well as a contributing editor with Intelligent Enterprise and DM Review magazines.