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Many businesses today are optimizing their legacy data architecture in order to effectively support growing data volumes and improve their business intelligence (BI) processes.

Sheetz Inc., a convenience restaurant retailer with more than 428 stores across six states, was experiencing explosive data growth and their legacy systems were underperforming as infrastructure costs rose.

Read through this transcript to learn how Sheetz Inc. optimized their systems and learn about the database technology they implemented that enabled them to:

• Quickly process billions of rows of data to foster real-time decision-making
• Reduce data loading time from 5 hours to 20 minutes
• Integrate effortlessly with existing applications
• And much more.