ABSTRACT
Success with Hadoop requires a new way of thinking as well as a sense of urgency. Organizations now want the capability of batch processing and interactive and real time queries with their big data platforms. This requires building the right combination of software frameworks, tools, in-memory software, distributed search, and NoSQL databases around Hadoop, and leveraging the existing software from proprietary software rms. The analytical systems that maximize business value are those systems that allow data from multiple sources of different types to be correlated to nd new data patterns that provide signicantly increased accuracy. The world of relational databases and data warehouses that require deleting, ignoring, aggregating, and summarizing data because of the high costs of storage is a losing formula for descriptive and predictive analytics. It is the detailed data that contains the golden information (insights) for success.
