With the availability of abundant data in the Internet, efficient procedure requires a faster and more effectively method of data processing. In-memory Computing (IMC) is considered a perfect answer to the growing volume of data as it leverages time optimization by delivering faster method of big data analysis. This creates a significant opportunity for improved business performance as data analysis can be done faster than before.
IMC is considered ideal for analytical and transactional applications due to its enhanced speed of delivering results. Its super fast performance and real-time analytics makes this the preferred method among business organizations for delivering results with enhanced real-time insight and greater scalability.
Why In-Memory Computing is Gaining Popularity
Rapid digitization among companies and the growing popularity of hyperautomation lead to two possible outcomes; either deliver high standard services as quickly as possible or leave the market. Present business competition has indeed become significantly tough as millions of international organizations are competing against one another to provide the best quality services. As a result, In-Memory Computing or IMC is significantly gaining popularity among corporate sectors and industries due to its incredible efficiency. Organizations are now leveraging on streamlined workflow and intelligent automation for seamless process of conducting business activities and operations. Therefore, relying on technology that delivers data analytics solutions within a considerably small period of time is much needed and appreciated.
Adoption of IMC can be further explained on the basis of transforming market scenario. The modern business market has become data-driven, which means that all strategies are to be formulated using in-depth data analysis and identifying current market trends. Also, volume of available online data is significantly increasing at an alarming rate. A smartphone can now generate a massive amount of data on a daily basis. A survey in 2021 concluded that around 4.32 billion online users are using smartphones to access the internet. As a result, massive amount of data needs to be thoroughly analyzed to generate meaningful insights within a limited period of time. Therefore, conducting faster analytics performance is no longer an option, but rather a necessity for obtaining success and gaining business competition.
The reasons can be summarized into:
- Adoption of data analytics
- Faster performance is a necessity
- Abundance of online data
- Organizations using hyperautomation
Internet of Things, simply known as IoT, provides a network infrastructure which connects a large number of devices, sensors and machineries for seamless workflow. As a result, these devices are also producing tons of data that requires thorough analysis which in turn, further popularizing the adoption of IMC technology across multiple industries and business sectors.
In-Memory Computing Architecture
Instead of keeping information in relational databases, IMC stores data within the server RAM. Its architecture is designed on the following principles:
- High speed
- Scalability
- Real-time insights
Data storage as well as indexing is done in RAM rather than hard drives, thus significantly increasing speed and performance. This technique allows the system to deliver optimal performance.
In terms of scalability, IMC is equipped with parallelized distributed processing, delivering significantly faster results. Unlike a single centralized system, distributed computing allows numerous computing devices for completing the given task.
In-Memory computing follows multi-model store, which collects real-time data from multiple sources. By leveraging on real-time analytics and algorithms based on machine learning, it can deliver instant insights related to business demands. Experts then consider obtained results to develop strategic decisions.
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