Mainframe Data as a Service: Setting Your Most Valuable Data Free

Many of the world’s enterprises are still running critical processes with mainframes – estimates range as high as 80% of transactional corporation data is in mainframe systems. While mainframes are well-established as systems of record, systems of engagement are emerging on a variety of open source and cloud platforms, including Hadoop and Spark. Unfortunately, in many enterprises, current mainframe data is inaccessible to these new platforms. There is a tremendous opportunity to surface mainframe data into this new world of fast-moving open technology. Organizations that have freed up mainframe data for cross-enterprise consumption are achieving greater agility, flexibility and lower costs.

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