Data is at the core of every business and has considerable impact on every decision that is made. It is estimated that around 2.5 quintillion bytes of data is generated each day. A clear strategy regarding how to use the data and analytics platform has become the priority for many corporate organizations. Organizations transitioning from paper-based to digital data are using the services of data entry companies to the best effect. The digitized data is stored on-premises, or in cloud systems, and mini-cloud like edge nodes. Soon, large amounts of data are very likely to be spread across clouds and edges situated in different countries across the world.
5G and edge computing are the two technology trends most popular now. Both these trends are expected to impact businesses by enabling massive volumes of digital data to be moved between clouds located in different regions as well as between IoT devices and edge nodes. To seize new opportunities and to stay ahead of competitors, businesses are transforming their operational modes and making use of 5G and edge computing. 5G network has hyper speed and edge computing has micro cloud and data centers located closer to data generating IoT devices. The amount of data is increasing everyday and analyzing these data helps to get deeper insights regarding useful trends and patterns that can improve the growth of the business. In addition, business managers and data-driven marketers can make better business decisions.
The ever increasing amount of data is bound by regulation of various countries to ensure protection of sensitive information and also to gain data sovereignty. In 2018 GDPR was implemented by the European Union and many other countries like China, Brazil, and India have their own data protection regulations. The increasing number of regulations creates concern for businesses that need to share data. Businesses, including technology infrastructure vendors and service providers, will want sovereignty over data generated by consumers, whether that occurs locally or across borders.
Managing data in multi-cloud environments could be challenging. When it comes to latency-sensitive 5G use cases, data sovereignty could be an impediment. This can be effectively addressed using SaaS solutions such as that provided by Kmesh (a company that provides compelling solutions for data mobility in edge and multi-cloud scenarios), which assist in the transformation of centralized data into distributed data that operate over multiple clouds, countries, and edge nodes as a single global namespace.
How does such a SaaS solution work? Businesses can take control of data generated at different data centers located even in different geographies. The data can be moved or synchronized in real time. Users will have to install one software agent of the vendor on-premises and another agent on any cloud/clouds. Then, using the SaaS solution offered, businesses can control the type of data that is moved and where it is moved to. This is expected to deliver significant efficiency improvements in operations involving data by offering the potential to plan where the data generated by end devices will reside and be accessed across edges, multi-clouds, as well as on-premises. SaaS solutions like Kmesh can focus more on data mobility in the present age of artificial intelligence (AI) and machine learning (ML). Since the need to transfer huge amounts of data between cloud and digital devices is eliminated, the burden on network resources can also be avoided. Another advantage is that the storage costs can be reduced because there is no need for data replication on different cloud systems.
The world is now looking for flexible IT solutions that can meet the changing data and performance needs. Businesses that are looking for methods to manage huge volumes data should first convert all their data into digital format. Reliable data entry services ensure smooth transition of physical data into digital data which assure proper storage of data and with the latest IT solutions, businesses can transfer and access data with ease.