The era of digital transformation

In the last few years, the pinnacle of cloud service has reached its zenith. So, organizations have been reacting to this cloud migration opportunity in a frenzied manner. As such, there is a great urgency among the companies to migrate to the cloud platform. It is important to understand the background and reasons for this entire migration process in detail.

The era of digital transformation 

In the age of big data, various organizations are already on their way to digital transformation. This has been speeded up by the pace of computing and analytics. As the cloud ecosystem becomes an epicenter of data, a new wave of digital transformation is inspiring companies to adapt to this change. A survey by Gartner shows that more than seventy percent of the organizations are on their way to full digital transformation. 

The digital resilience 

Even as several companies have suffered setbacks in the aftermath of the pandemic, the ones that have entered the digital arena fully or partially have shown great levels of resilience. Most of these companies have taken the short but the best route. Instead of making huge investments to upgrade their existing infrastructure and applications, these companies have moved along the cloud ecosystem comprehensively. 

The computational paradigm 

Cloud computing services provide such great analytical capabilities that even huge datasets can be processed in a very efficient manner. This has certain advantages when compared to on-premises deployment. Ranging from scalability to experimentation, cloud computing processes provide the elasticity that is unprecedented in the era of digital transformation. Without the need to redesign the data infrastructure, the cloud ecosystem has a tremendous adaptive capacity to cope up with new tools and applications. 

Snowflake transformation

When referring to snowflake transformation, we are talking about the numerous advantages associated with this data platform. There is hardly a need for database administration. The power of processing is tremendous and data throughput is also high. It also gives us the freedom of easy scaling.

Analytics catalysts 

The traditional data warehouses laid their prime focus on data that was transactional. As the fourth industrial revolution sparked off, unbound connections between digital devices and the internet of things became the new normal. Data began to be generated from new electronic devices, self-driven cars, medical equipment, and other essential components. With the rollout of the fifth-generation technology in the domain of telecommunications, new streams of data began to be generated. A research survey by Seagate predicts that the volume of data that would be generated in smart cities would increase by an amount of more than 50 percent in the next five years. This is what can challenge our traditional way of managing data analytics. At the same time, this would pave the way for various cloud-based solutions in the times to come.

Concluding remarks

Making an abrupt shift to an all new computational ecosystem may not be a straightforward ask but the effort required in this process is worth it.

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