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Big Data Engineering

Edge Data Management and It's Use Cases

Chandan Gaur | 20 January 2023

Edge Data Management And It's Use Cases


Edge is an emerging solution to high Bandwidth, and low latency issues as Edge is the nearest location where data can be stored and retrieved from the source. It provides the ability to process the data with exceptional speeds and enables enhanced experience at the user end.

Data Management and Edge will compliments each other because the increasing volume of data with the adoption of numerous smart devices and internet services will slow down the requests and will lower the speed of processing significantly.

As per a study, by 2022, only 10% of the data generated will be created and processed by the Edge. However, it is also predicted that by 2025, 75% of the data will be on Edge and have already left traditional data centers and cloud storage.

Also, the advancements of new technologies are introduced and integrated into the edge-computing world, which opens many possibilities for economic and societal growth for many organizations.

What is Edge Data Management ?

Edge Data Management is the approach for managing and retrieving data for analysis and processing from the nearest source to reduce the latency, mitigate short delays and enable high throughput.

The concept of Edge arrived when the challenges from cloud computing began to show, and users started to show interest in edge computing to facilitate agility and better growth in organizations. Edge locates the data close to the source, so if any request is made, the processing time will be lower than any cloud server.

Edge Data Management delivers exponential growth in revenue shares as many industries and firms are expected to leverage this opportunity to create new and innovative edge services.

With the help of Edge, the entire data management ecosystem will become a new focus for data practitioners, as it promises various benefits with increasing organizational efficiency and reducing operations costs. Let's discuss some of them in brief:-

1. High Bandwidth and low latency:

The service is generally faster and quicker in terms of edge data centers, as they process a small percentage of the network's overall data and have fewer path restrictions while data transfers. Also, the main advantage is that the servers are much closer to the user than cloud servers, so computing capabilities become much higher.

2. Flexible servers or networks:

Most of the time, the cloud servers work on a multi-tenant approach and address requests from many people at any given time. Also, traditional data centers are much more prone to downtime and disruptions that could lead to massive losses for any individual or organization.

Edge data centers provide mesh coverage, i.e., one data center can cover up for another to enable consistency in the service.

3. Reduced Operational Cost:

Edge data centers require less space than cloud or traditional data centers. These systems also require less hardware and maintenance, as they are being built for a particular requirement.

This approach reduces the cost of many essential components for typical data centers, as they seem unwanted for edge data centers.

4. Security and Privacy:

Edge data centers must transmit small amounts of data to a comparatively smaller distance than cloud servers. As the path of data transfer is short, the risk of data breaches also becomes minimal.

Most cloud servers are located far away, so the distance for data transfer also increases. The larger the distance, the greater vulnerability to cyberattacks could be registered.

5. Increased Scalability:

Edge Data Management allows the expansion of services as required. The edge data centers are small and flexible. They can increase the software's functionality and agility by adding another data center while keeping the rest of the systems as exact as they were before.

Which Industries should adopt Edge Data Management?

Although all industries should benefit from adopting edge data management, the most impact could be generated where the high computing capabilities and low latency aspects can benefit the business in driving value. Here are some industries that could get optimal benefits from Edge Data Computing:-

1. Media and Entertainment:

The disruption in streaming and watching content can be minimized with the help of edge data management. With easy access to resources on an edge data center, service providers could leverage the benefits of high bandwidth and low latency capabilities to ensure a seamless streaming experience for the viewers.

2. IT Service and IT Consulting:

The main advantage of implementing an edge data management approach could be in IT Sector. The regular need to roll out the updates and send requests to the server can be time-consuming and create a lot of challenges on daily operations.

With edge data centers, the possibility of end deployment points increases, and the ability to provide a patch or update can be comparatively easy from other data centers.

3. Manufacturing:

With the help of IoT devices, manufacturers can allow for better predictive maintenance and energy efficiency.

4. Finance and Banking:

With low latency, the banking algorithms can process and execute quicker and increase overall profits significantly.

Also, the trading firms, saving even a millisecond, could increase revenue and profits exponentially.

5. Retail:

Increasing store efficiency and customer experience is a priority for all retailers. A high-speed network and seamless shopping experience can make the retail experience easy for the customers and benefit the retailers in increasing customer retention and acquisition.

6. Healthcare:

Edge data management can increase the efficiency of medical equipment in providing essential healthcare practices and personalized care with quick and responsive systems.

A process that allows the user to check that the provided data they deal with is valid or complete. Click to explore Guide to Data Validation Testing Tools and Techniques.

Conclusion :

Edge Data Management allows efficient allocation of networking, caching, and computing and thus assumes critical significance for decentralized computing and storage.

Data management edges will ultimately be designed as modern software-defined offerings. Software-defined models will offer exceptional advantages and break the bottleneck of traditional IP networks by abstracting away internal complications from end users, making it easy to configure, scale and evolve enterprise-grade applications on networks.