4 Tips for Processing Real-Time Data in Your Data Center
Real-time data volumes are exploding. Thanks in part to an increase in the use of artificial intelligence and machine learning, real-time data processing will be five times greater in 2025 than it was in 2020. Companies rely on this processing for a wide variety of use cases, including fraud prevention, recommendation engines, financial transactions, identity management, and much more.
This explosion in processing is leading to some significant changes: costs are increasing dramatically--whether the data resides in the public cloud or in enterprises' own data centers, some data cannot reside in the public cloud and managing the server farms needed for this explosion is difficult, and customers need to transform data into revenue and to do so more quickly than their competitors.
In this webinar, learn the four tips that can help enterprises build a scalable, cost-effective environment for processing real-time data in their own data centers.