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How to Achieve Ultra-Fast Data Analytics
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.
Listen to this podcast to hear how Sheetz Inc. optimized their systems and find out what 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.