Data volumes continue to grow at a pace that is stressing current systems and architectures. The requirement to process even more data and transactions while understanding and acting upon real time trends is becoming more important than ever. 

Financial institutions know that in order to thrive in today’s world, they need to process significantly more data, improve operational efficiencies, compute risk, and detect fraud quicker and more accurately than ever before. To accomplish this, they are rethinking their operational systems because the older style architecture is unable to consistently deliver the performance, scalability, and flexibility they need to meet the demands of their mission critical applications. 

With over 250 databases in the market today, developers have to be smarter than ever at matching the right database to the right problem in order to ensure the success of their applications. If your application problems are characterized by an inability to effectively manage overwhelming volumes of data, or are challenged with making very fast decisions on very large data sets, then you have a problem of delivering speed at scale. 

Join us on December 10th at 10 am PST to hear from big data analytics expert, Steve Yatko and CTO and co-founder of Aerospike, Brian Bulkowski to learn how financial institutions are using a next generation NoSQL operational data store to achieve speed at scale. Hear from industry leaders and innovators on how they are using next generation informatics to: 

  • Handle latency sensitive real-time analytic pipelines 
  • Manage intra-day trading with predictable performance and consistent data 
  • Deliver multi-asset class trading and compliance 
  • Analyze fraud patterns 
  • Reduce risk 
  • Improve customer satisfaction 

​For more information download these resources now: 

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