Stanley Zaffos - VP and Research Director, Gartner and Joey Jablonski - Practice Director, Analytic Services, DDN
The ability to generate and capture various sensor data, communications, and imagery has grown exponentially, and there does not appear to be any change in sight. To effectively extract the maximum benefit from the deluge of data generated today, analysts need to utilize the new generation of analytical tools and human expertise that is rapidly being developed. When properly utilized, these advances are providing today’s analysts with an unprecedented ability to make real-time data-driven decisions as well as improved options to collaborate and share information. However, effective implementation in the era of hyperscale data depends on the ability to manage conventional system technology, and unpredictable volume requirements. An imbalanced analytics system can result in bottlenecks that reduce the value of analytics tools and the enterprise data warehouses (EDW) that power them. As such, it’s critical for organizations to ensure that at either end of the ingest/egest process they build scalable storage and storage processing technology to complement today’s high-speed data warehousing and data analytics technology. This session will detail how new filing system options and cloud infrastructure can improve the performance of analytics applications utilizing actual benchmark tests, and demonstrate new options to collaborate and share information.