Finding balance between data size and analytical modeling needs can be a problematic process in big data analytics. But it is essential for the success of big data analytics projects. The size of big data sources at social networking companies can obstruct analytics efforts. So, restraining the opportunity of an analysis by using data sampling techniques can be helpful. On the other hand, there are many businesses that lack the data needed to answer key business questions. For those organizations, development of effective analytical models can only take place after new data types are acquired and their analytics infrastructure is built. To know more, go through the article by Ed Burns (site editor of SearchBusinessAnalytics) at: http://searchbusinessanalytics.techtarget.com/feature/Balance-required-between-big-data-volume-analytics-needs