There’s a popular notion implying that the world runs on data. Many experts agree, considering the technology used in all aspects of life from smartphones to satellites. In fact, the global cloud network is projected to handle more than 200 zettabytes of data by 2025. That’s over 200 billion TBs of data.
This is the reason why big data is expected to have a bigger impact as the years pass. Today, let’s look at the anticipated changes the industry will bring to the world in 2023.
Rapid evolution of data-as-a-product
The concept of data-as-a-product (DaaP) pertains to how an organization views and analyzes gathered data. In simple terms, you treat different kinds of data as different kinds of products. It is up to you or your data team to use these products to help other teams as well as end-users.
Big data will pave the way for the development of more sophisticated data teams this 2023. Teams made up of data scientists and data engineers will have to acquire the necessary level of data processing techniques to meet the data requirements of companies. Tasks like data modeling, analysis, and interpretation will be more important than ever.
More complex data types
The emergence of more advanced data teams goes hand in hand with an increased output of more complex data types. An introductory guide to big data explains that the industry at present is mainly comprised of unstructured data. Common examples are multimedia assets like videos and web pages.
This year, however, there will be a rising demand for platforms and tools that can handle semi-structured data. Databases are expected to be developed further for vectors, graphs, matrixes, and geospatial data, among others. Native support for multimodal data is vital for data warehouses so they can accommodate increasing loads.
At the same time, the need for analytics that will translate these semi-structured data into actionable insights will rise. This effect will be inevitable as enterprises, big or small, continue to modernize and adopt more powerful software. Regardless of which business facet – whether operations or finance – more comprehensive data reports will be requested to support teams in hitting business goals.
Brighter spotlight on device connectivity and security
A stronger push toward better device connectivity and security is another impact of big data this year. Our article on the Internet of Things notes that as more machines with built-in sensors get added to the IoT network, there will be a necessity for equally capable infrastructure.
Consequentially, all these new devices must follow data safety regulations, which vary from region to region. Addressing these compliance requirements alone will already account for a significant part of the entire big data landscape.
Bigger focus on edge computing
Edge computing is an IT architecture where devices and networks are near the user. As the big data industry expands, edge computing resources will be more crucial. This is to allow stakeholders and users to stay productive during this era of distributed communication and remote workflow.
It will hasten the ongoing shift worldwide from centralized resource centers to distributed platforms. It’s a continuous attempt to achieve or maintain high-quality output in real-time from teams and departments, especially multinational firms that deploy people in different areas and time zones.
Rise of “green computing”
There will be a tighter race toward innovations in “green computing” or energy-efficient means of data processing. As data produced annually increases, so are the concerns for sustainable practices. The energy-intensive field of cryptocurrency is a popular example of this application, as companies strive to improve their data mining operations.
AI progression will accelerate
Another impact of big data is rapidly advancing AI. As more data becomes available for analysis and application, AI algorithms have a bigger room in which to grow.
Take for instance chatbots. They are becoming more and more conversational and human-like in their interactions with users. That’s because they are able to access more extensive data libraries. In doing so, they can address issues faster and in turn produce more data with which to work.
To sum it up, the impact of big data in 2023 will encompass virtually all forms of technology. From how people work to how bots learn, big data is expected to be a primary fuel that will drive progress across industries worldwide.