The increasing pervasiveness of social networking, multi-cloud applications and Internet of Things (IoT) devices and services continues to drive exponential growth in big data solutions. As businesses become more data driven and larger, more current data sets become important to support the online business processes, analytics, intelligence and decisions. Additionally, data availability and integrity become increasingly critical as more and more businesses and their partners rely on these (near) real-time analytics and insights to drive their business. These big data solutions typically are built upon a new class of hyper-scale, distributed, multi-cloud, data-centric applications.
While these NoSQL, semi-structured, highly distributed data stores are perfect for handling vast amounts of big data on a large number of systems, they can no longer be effectively supported by legacy data management and protection models. Not only based on the sheer data size and the vast number of storage and compute nodes,
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