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Technical Insight: Hadoop on Shared, Software-defined Storage

Published June 2nd, 2017. Technical insight report on using IBM Spectrum Scale with Hortonwork’s Data Platform to accelerate time to information and add value to Hadoop’s storage environment.

Using IBM Spectrum Scale with Hortonwork’s Data Platform to accelerate time to information and add value to Hadoop’s storage environment

by John Webster

Data is the New Equity

Enterprise CEOs and other organizational leaders see new business opportunities in the rising tide of data that now surrounds them. Consumers become data sources as they employ a growing number of ways to connect with information and with others. New sources of “machine-generated” data— typically the unseen data produced by wired and wireless devices—appear every day. Leveraging the growing list of data sources is now a top IT priority. With the advance of data analytics, executives now realize that data owned by the enterprise can be monetized. Data is the new equity.

Data analysis in the enterprise has advanced from data warehouses that delivered weekly, monthly and year-end reports to real time information systems that build revenue and enhance operational efficiency and security. Big Data encompasses a set of technologies in current use for large scale data analytics with low latency and at relatively low cost. In 2017, enterprises will progress from experimentation to the wide usage of these technologies to power specific business initiatives within all major industry segments.

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