The first mistake an organization can make to manage big data is buying additional storage capacity every 6 or 12 months, which results in enormous costs and making IT team to spend more time on data management, rather than on strategic initiatives.
Therefore, organizations must find smarter data management approaches that enable them to corral and optimize their data efficiently.
Big Data causes three main challenges: storing, processing and managing it efficiently. Scale-out architectures have been developed to store significant amounts of data, and purpose-built appliances have improved the processing capability. The next frontier is learning how to manage Big Data throughout its entire lifecycle.
The first step to take here is to bring the data down to its unique setting and reduce the amount of data to be managed.