While a big data strategy can be the key to uncovering profitable insights and answering complex questions, many organizations struggle to store, manage and analyze this valuable resource. The missing piece to the big data puzzle could be Hadoop.
Yet, for all its agility in handling big data, Hadoop by itself is not a big data strategy. Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. Hadoop delivers enormous processing power – the ability to handle virtually limitless concurrent tasks and jobs – making it a remarkably low-cost complement to a traditional enterprise data infrastructure.
This paper from SAS summarizes how Hadoop works and why it’s important, how Hadoop can address big data challenges, and how advanced analytics can enhance and streamline Hadoop. It also discusses how Hadoop is only a piece of the big data puzzle and the additional capabilities you will need to serve your organizations big data needs.