Industries Fighting the Biggest Data Challenges with Smart Technologies

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Modern applications demand radically innovative capabilities from data management and other databases since they are inherently different from the traditional ones. They need to satisfy extremely high customer demands, with minimal resources.

As enterprises grapple with new realities, they face a few critical unanticipated challenges that need to be resolved quickly to keep pace with customer expectations.

The first challenge is to realize that we are in the middle of a paradigm shift in database technologies- one that happens in two decades. The very definition of a database is changing, and unless firms pause long enough to question preconceived notions about databases, the next few years could be a challenge.

Traditionally, NoSQL databases were designed to process a massive size of distributed data in real-time and without the risk of downtime. But most relational databases use a centralized architecture, which can create possible bottlenecks. Modern applications engage with multiple data formats based on rapid, highly contextual data connections. Even when enterprise leaders comprehend what databases are capable of achieving and what they need them to do, they face challenges of limited skill set among their current developers.

Enterprises face an ongoing challenge where training must keep pace with evolving technology and investment, and having a learning mindset must be central to success. Unfortunately, most enterprises today realize this is where they need to excel, but it is difficult to achieve. Alongside a commitment to continual learning training programs, firms must learn to be more comfortable to use and learn new tech.

Everyone is feeling the pressure to build applications fast enough to deliver exceptional customer experience while dealing with stretched resources and limited skill sets. There is an ever-increasing demand in the market for simplified tooling. Enterprises need to concentrate more on the result of what they build and less on the burden of the technology used to construct it. They need to look for simple solutions like a  cloud strategy.  Most of the enterprises adopt a hybrid cloud as well as a multi-cloud strategy, and both of them have a massive impact on the data strategy.

Managing data is one of the hardest parts when it comes to migrating to the cloud. Almost all enterprises want to do away with the hassle of investing and building a data center as it requires expert consulting as well as rigorous efforts. A data strategy from an enterprise should consider five main factors viz, security, joining hands with public cloud providers, sovereignty, governance, and competitive ability.

To meet customer expectations, enterprises need to be ready for new challenges and create solutions to move forward.