How does big data work?
Big data itself isn’t useful but these massive volumes of data can address business problems that we wouldn’t be able to tackle otherwise. It comes from many different data sources, in enormous volumes, in a variety of formats, and at a high velocity. That’s why a mechanism to extract the data from all these sources is imperative.
These datasets are so voluminous that traditional data processing software cannot manage them. Between 50% and 80% of the work is getting the data ready. Companies must transform it into a standardized format and load it into a specific storage area, for example in the cloud, on-premise, or both.
Once completed, data scientists can actually begin to analyze the data. No matter if it’s a simple algorithm or a complex neural network, most often the investment pays off. By analyzing all the historical data, the companies can improve their product lines, cut manufacturing, logistics, marketing and sales costs, improve their efficiency, etc.
What are the world trends with big data?
In recent years, we have witnessed the evolution of different IaaS platforms. These services have evolved in terms of storing and managing data, and are designed to work more efficiently and effectively than traditional frameworks.
Using these services where Data Engineers and Scientists can prepare, analyze and visualize big data is crucial for future dig data evolution. By using and expanding these services, companies will proceed with their digital transformation process, so there is no doubt that this process will advance even faster than before.
On the other side, IoT, AI, Machine Learning and Blockchain are feeding big data and pushing it forward to undiscovered territories. In recent years, not only enterprise companies are using big data, but more and more startups, small and medium companies heavily rely on this practice.
IT companies are also expected to evolve even more by developing life-cycle management processes that can support the creation of analytics apps and spread their products and services lines in this direction. In views of that, we should expect an even greater expansion of big data and analytics as part of this growth.