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Discussing Data Management Strategies


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As more companies seek to get data faster and more securely for better performance, business applications continue to grow more sophisticated.

With this constant evolution, there is the related challenge of supporting them.

 From high-volume transactions to the analytical processing of new data sources and types, modern applications require speed, scalability, and flexibility—whether on commodity hardware or in a cloud.

DBTA recently held a special roundtable webcast to discuss data management strategies that featured Chuck Wenner, senior director global technology of Unified Compute Platform at Hitachi Data Systems; Brian Bulkowski, co-founder and CTO at Aerospike; and George Corugedo, CTO  and co-founder at RedPoint Global.

To enable business transformation, the IT infrastructure and operations must evolve to support bi-modal management while adapting to ever-changing business requirements, according to Wenner. Cloud is the future, he noted.

Bulkowski stressed that the only way for traditional enterprises to easily build Digital business is adapting to two-speed IT decoupling systems of record and systems of engagement . Using a flash-based system of engagement is an optimal way to manage data, he said.

Corugedo emphasized the importance of understanding how machine learning will change the data landscape in the future. RedPoint Global’s  marketing data lake solution can help,  he said.

RedPoint enhances the processing of that data to allow organizations to have the most precise view of whatever relationship they have with the public, Corugedo said.

To view this webinar, go here.


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