Best Practices for In-Memory Database Administration in Real-Time Environments

Authors: Balakrishna Boddu

DOI: https://doi.org/10.5281/zenodo.14059359

Short DOI: https://doi.org/g8qjpj

Country: USA

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Abstract: In today’s world, businesses want their apps to work as fast as possible. One way to do this is to use in-memory databases. Instead of storing data on a hard drive, these databases keep it in the computer’s memory. This makes them much faster. This Paper will talk about how in-memory databases work and what they can be used for in Real-Time Environments.Businesses are constantly seeking ways to boost performance and responsiveness in their applications. One technology that has gained significant traction in this regard is the in-memory database (IMDB).This paper explores the architecture, benefits, and applications of IMDBs in real-time environments. By eliminating the latency associated with disk I/O operations, IMDBs enable rapid data processing and analytics, making them ideal for applications requiring immediate insights and low-latency responses. Key use cases include real-time fraud detection, algorithmic trading, and personalized recommendations. The paper also discusses the scalability and reliability of IMDBs, highlighting techniques such as horizontal scaling and data persistence mechanisms. Through a comprehensive analysis, this study demonstrates how leveraging IMDBs can significantly enhance the performance and responsiveness of real-time systems, paving the way for more agile and data-driven decision-making processes.

Keywords: memory, sap, backups, storage, high-scalability,high-availability, Analytics, tools.

Paper Id: 231463

Published On: 2020-11-04

Published In: Volume 8, Issue 6, November-December 2020

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