How Data Is, and Will Always be Changing
Posted on Jul 28, 2021 by Ian McGowan
Self-driving cars, lifelike robots, and even drones that can deliver food right on your rooftops - none of these technological advancements would be possible without big data and the analytic technology built for this generation that conveniently allowed us to interpret and understand it.
Big data usually describes the technology and practice of working with data or information that are large in volume and also comes fast in many other forms. Yet the term itself is open to interpretation from different data experts, the same way data itself has changed throughout the years.
Even today, most organisations struggle with getting the right value from the vast amount of the data they are able to access.
New ways to explore and interpret ever-changing data
Many say that data visualisation is the last frontier of the data analytics process before the leg-work or before we take action based on our findings. Communication between man and machines is mostly carried out through the process of visualisation, which then highlights key findings to help figure out what needs to be done.
However, not everyone is able to spot a potentially valuable insight that’s hidden in a pile of statistics. As it becomes more of a necessity for organisations to gain data-driven insights, they have been discovering newer and better ways to help communicate these findings.
The data advancement of hybrid cloud and the edge
The power to access large amounts of data and implement real-time solutions through the power of curated information without the need for expensive infrastructure and machines has fueled the boom in apps and startups that offer data-driven services on-demand.
However, relying mainly on public cloud providers is not the best model for every business. Concerns about security and governance are warranted when you trust your entire data operations to third-party Cloud providers.
The rise of DataOps
While DataOps is a methodology and practice that purely borrows frameworks often deployed in software development, the training needed to work in DataOps is coincidental to the skills and experience a person has to carry out specific tasks. It can, in turn, help evolve the opportunity for data science for anybody with the interest in a career in IT today.
As most corporations see the growth in popularity of DataOps as a form of service to help streamline business today in terms of their data handling processes, the best course of action is to employ those who have been with enough experience and history in providing the best results for all your data needs.
With all these changes to big data, and even data as a whole, you can rely on ADEC Solutions UK to deliver its noted brand of data assurance solutions. For more than two decades, we have seen firsthand the transformation of data into the behemoth that it is today. Armed with this experience, you can trust our data experts to show how your organisation can keep up with the changes in data.
Set up a 20-minute data consultation with our experts, and we can show how we can maximize these changes to data.