In-Memory: Speeding Up Value by Using Operational Intelligence

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eCommerce: Putting the desired outcome in front of customers.

In-memory computing can be used for integrating real-time analytics into an eCommerce system. The browser can be instrumented to send detailed information about which products customers are examining or the time they are spending on each product. Combining all of this information, the system can build a dynamic history of site usage for each customer and collect a set of preferences for that customer. The information can be used for real-time offers that are specific to the customer's individual profile.

In-memory technology was around long before Big Data became a buzzword. Parallel computing dates back to the 1980s. With lower cost memory and greater workload demand, in-memory computing has emerged as a key technology. A diverse array of industries, such as finance, retail and ecommerce, looking to capture business opportunities in real-time, are turning to in-memory.

As Big Data has come to the forefront of the next wave of technological innovation, in-memory data grids have become a powerful tool. ScaleOut Software has identified five ways organizations can use in-memory technology. 

 

Related Topics : APC, Resellers, Data Replication, Extract Transform and Load, Structured Data Integration

 
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