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Emerging Data Models in DBMS

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A Library Database

A Library Database

Data models are fundamental entities that define how the logical structure of a database is modeled. Over the years, new technologies have evolved in the field of database management. 

These emerging data models are highlighted below:

I. Big Data: This model has found new and better ways to manage large amounts of Web-generated data and derive business insight from it. It also simultaneously provides high performance and scalability at a reasonable cost.

II. NoSQL Databases: This model is not based on the relational model, hence the name NoSQL. It supports distributed database architectures, provides high scalability, high availability, and fault tolerance, and is geared toward performance rather than transaction consistency.

III. The Data Fortress: Cyber-attacks have disrupted some of the world’s leading companies as our increasingly connected world creates more and more openings for hackers. Organizations are beginning to take a security-first approach to data center design, deploying out-of-network data pods for highly sensitive information—in some cases with separate, dedicated power and thermal management equipment. 

IV. The Cloud of Many Drops: Despite virtualization-driven improvements, too many servers remain underutilized – some studies indicate servers use just 5-15 percent of their computing capacity and that 30 percent of all servers are “comatose.” We see a future where organizations explore shared service models, selling some of that excess capacity and in effect becoming part of the cloud. 

V. Fog Computing: Distributed architectures are becoming commonplace as computing at the edge of the network becomes more critical. Introduced by Cisco, fog computing connects multiple small networks into a single large network, with application services distributed across smart devices and edge computing systems to improve efficiency and concentrate data processing closer to devices and networks. It’s a logical response to the massive amount of data being generated by the Internet of Things (IoT).

VI. The Corporate Social Responsibility Compliant Data Center: Energy efficiency continues to be important for an industry with seemingly limitless consumption needs, but other drivers—most notably an increased focus on reducing carbon footprint among some organizations—are pushing the focus toward sustainability and corporate responsibility. The industry is responding with increased use of alternative energy in an effort to move toward carbon neutrality.


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