5G Requires A Proactive Approach In The Sea Of ​​Data

But what is so new about the 5G standard? Above all, the technology promises maximum speed through to real-time transmission. 5G thus represents the central basis for digitization because most of the developments in recent years in IoT, Industry 4.0, autonomous driving, online services and disruptive business models are unthinkable without 5G.

New Investment Culture Enables 5G Expansion

As a current study by Gartner has shown, 66 percent of the companies surveyed plan to use 5G by 2021, primarily for efficiency reasons. Providers must ensure that this rapid transition works. But politicians are also called upon to help ensure that German companies are not left behind. This requires a different investment culture that provides nationwide network coverage and rapid expansion of 5G. But not only does politics have to do justice to the new technology, but companies also face challenges with 5G, especially when it comes to data management.

5G Penetrates All Areas Of Life And Industries

The transition to 5G cellular networks will increase cell phone usage, but a variety of wireless devices will be used to a greater extent. In addition to smartphones, this includes robots, security cameras and cars that broadcast traffic data. And all these devices not only stand on their own but are connected via IoT connectivity.

• This has an impact on individual consumers as well as many branches of industry, as these examples show:
• In the healthcare sector, it is important to ensure individual healthcare that, for example, monitors a patient’s condition remotely and operates with computer assistance.
• The manufacturing industry must guarantee that smart factories produce as uninterrupted and error-free as possible.
• Intelligent driver assistance systems and autonomous vehicles will be introduced in the automotive industry.
• It is important to ensure the further development of intelligent energy networks in the energy sector.
• The media and entertainment industry will meet the increasing demand for high-definition multimedia and live and on-demand content.

With all these effects, the demands on data management are also changing. Many companies have already pushed ahead with introducing hybrid cloud solutions https://en.wikipedia.org/wiki/Data_managementto achieve more mobility, scalability and cost-efficiency with their data management applications. But that’s not all in the 5Gage: the technology calls for hybrid cloud data management strategies that make it possible to process larger amounts of data and meet the highest requirements for reliability and performance.

The Appropriate Strategy For Data Management

As a result, if organizations are to embrace 5G, they must adapt and maintain a data management strategy that can handle larger data volumes and high speeds. In addition, data management must keep the risk of downtime as low as possible. However, many companies are not yet thinking about this. And so, it will be too late for them to realize that 5G will fundamentally change the way they build applications and that scalability will be a higher priority in the future. Because it is more important than ever to cope with growing data volumes, maintain high speeds and minimize the risk of downtime.

In addition, with the introduction of 5G, companies and entire industries will become more dependent on hybrid cloud applications and solutions. Legacy applications are therefore playing an ever-smaller role and microservices an ever-larger role. Because only they enable the faster and continuous provision of new applications.

How Can Companies Prepare For 5G?

For the transition to 5G-compliant data management to work, sealed ecosystems must be a thing of the past, incompatible formats must be replaced in different networks, and uniform format types must be adhered to. It is also important to ensure that systems and applications that collect and analyze raw data are operational. For this, the entire data management must be designed as uniformly as possible. The basis for this should be a convergent platform that actively supports all aspects of the new data management.

All of this requires a review of current database capabilities. Companies should determine as early as possible whether the existing platforms are sufficient for building and adapting to the rapid growth of data. Using a distributed, cloud-based data layer enables organizations to improve efficiency, reduce costs, and automate network processes with no downtime. All industries will soon need a reliable, efficient, scalable and secure database management solution to keep pace with progress and effectively manage the new generation of customer demands.

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