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How To Use In-Memory Computing For Continuous Learning Applications

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Businesses that hope to endure for long in the modern commercial arena must come equipped with the best digital tools available, which increasingly means turning away from outdated methods such as the ETL process and instead opting for in-memory computing, which drastically speeds up the rate at which you can leverage your data for commercial gain. Nevertheless, many business owners have little to no familiarity with in-memory computing and are uncertain of how to use it for continuous learning applications.

Here's how your company can use in-memory computing for continuous learning applications without bankrupting itself and why you need to make this digital switch as soon as possible.

What Is Data Analysis?

Before you can hope to use in-memory computing for continuous learning applications, you need to understand what it is. In plain English, there are three major components to modern data analysis — you need a processor to calculate, a storage system to store your data, and a system that transfers data from your processor to your storage and vice versa. Currently, we simply can't retrieve our stored data fast enough, largely thanks to hardware constraints, which means that we can't compute or handle data analysis nearly as quickly as we'd like to. With in-memory computing techniques, however, this is beginning to change.

In-memory computing is the process whereby data that is traditionally stowed on hard discs is instead stored in memory with the help of specialized databases built for such a purpose. A comprehensive analysis of the future of in-memory computing released by Deloitte indicates that this new method of computing is going to drastically speed up the pace at which we can conduct data analysis, which means more businesses everywhere will soon be able to level the digital playing field.

While in-memory computing is not yet widespread, this just means that the opportunity to adopt it and gain a competitive advantage should be all the more alluring to companies seeking to expand their digital toolset.

If you want to make proper use of in-memory computing, you'll need to rely on middleware software, which lets you store data in RAM across a cluster of computers instead of traditional hard discs. Given that RAM is substantially faster than traditional hard discs, this gives you a major leg up when it comes to computational speed.

It's simply easier for the data to get to where it needs to be in order for your computing operations to work as they should. As the adoption of in-memory computing to doing business becomes more common, this kind of analysis will become the dominant form in the marketplace.

Check Out Some Examples

Now that you understand in-memory computing to a greater extent, you can check out some real-world examples that will help elucidate how companies are already using it to derive a competitive advantage in the market. Four real-world use cases worthy of your attention include the use of in-memory computing to bolster transaction processing, which means you can do more business with a greater array of customers at a quicker speed than ever before.

Furthermore, companies like GemFire have produced a powerful in-memory data grid that drastically speeds up event notifications and processing, thereby allowing those using it to track and respond to incoming data at a record pace.

Business owners who are struggling to find a reliable in-memory computing platform should set some time aside to survey a list of popular platforms that other companies are already using. By relying on the help of the likes of GemFire, Ehcache, Red Hat, and others, you'll soon be drastically increasing the extent to which your company can manage and make use of huge sums of data.

It's important to understand that while in-memory computing platforms aren't yet mainstream aspects of the business world, this method is nonetheless increasingly reliable and becoming more widely adopted by the day. Companies that thus delay in their embracing of in-memory computing approaches are sorely missing out on a premium market opportunity.

Gartner's market guide can help you locate vendors too, but always be sure to take your time when choosing a partner. Before long, your company will be tapping into the power of in-memory computing to the tune of wondrous results.

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