The information is not a valuable item if we cannot store, analyze and filter it. Today, in any company and in our daily life, we generate huge amounts of information that properly processed can offer revealing conclusions. The BigData paradigm brings us closer to solving this problem of getting results quickly in real time. In that way, we develop the most appropriate strategies for our customers to store, process and analyze real-time key information of your business to be faster than your competitors.
Data collection in the cloud:
Every customer and every business is different so everyone needs a solution adapted to its needs. The right technology for every challenge is chosen carefully, not all services and products for BigData serve the same, and each one has its strong points. We apply the most rigorous engineering principles to use the most appropriate components to build strong and robust solutions to grow quickly without structural limits. This can only be achieved with an adequate modeling and designing consistent information architectures with the underlying data model, just as we would not use a hammer for screwing. There is a big difference between things working in a particular context and working always, that's the difference.
BigData is not only storing and processing information. A key pillar is the analysis of it either to create a predictive model or a simple dashboard. A good result can be obtained only by understanding the customer's business, so we care to understand it.