A priori it may seem like a sport beyond the realm of reason, Big data has conquered the football world, that too.Some clubs put scouting intuition aside when signing players and rely more on cross-referencing statistical data. “That forward is amazing at scoring goals.” gave way to scientific evidence such as “He averaged more than six shots per game.” Elaborate on the reasons for the team’s next move.
This is not the only case of “dataification” in sports. Because many athletes use telemetry to analyze their performance and gain further knowledge. Rafa Nadal technical staff Modification of tennis rackets with the help of big data again and accurate analysis of velocity or power results recorded by accelerometers, gyroscopes, and other sensors and wristband-mounted sensors.
They are only a reflection of reality. Big data casts a long shadowI can give examples from many professional fields outside of sports. It uses data collection and subsequent analysis, mainly for banking, online sales, social media, Sustainable data for sustainable development.
so let’s see What is big data analysis Some of the trends of the year.
The unstoppable “dataification” of our routines and habits
Every day, large amounts of data are generated around the world and stored by governments and private companies. Approximately 2.5 trillion bytes worldwide More than 1 billion Google searches, about 250 million tweets, 60 hours of video uploaded to YouTube every minute, 800 million updates on Facebook, and 10 000 videos per second, to be exact. Credit card transactions… and cities are full of sensors of all kinds. Feeds about weather, telephony, traffic.. At its core, we are the data.
big data analysis It is a concept that clusters all technological and mathematical developments dedicated to storing, analyzing and cross-referencing all information in an attempt to find patterns of behavior. That is, somehow Tie up all the loose ends about our routines and habitsMore and more companies are working on this new paradigm. Because we can better understand user behavior in order to offer a much more personalized experience, regardless of sector.
Big data analytics brings with it a variety of increasingly familiar digital concepts, such as: data lakea repository where coarse-grained information is stored before being analyzed, data mining and machine learningThe latter two search patterns are based on cross-referencing information, but there are significant differences between them. Data mining extracts information for individuals to analyze, but machine learning goes a step further. That is, detect those patterns and act accordingly.
A clear example of this is feed function inside FacebookThis social network learns from our interactions and adjusts our information. wall According to our behavior patterns, we will provide more relevant content to your taste. therefore, Artificial intelligence will increasingly rely on big dataEfficiency of tools no longer matters, they are also expected to run in real-time, learn from patterns and make predictions.
Where is big data analytics headed?
Many businesses, and even government agencies, are looking to take advantage of large-scale data analytics to provide better services and even optimize their goals. We store data for up to 1 million transactions made by our customers every hour to predict what products they’ll need when it’s raining.
The smart city concept is also closely related to digitization.of Water-driven SWING project in ACCIONA Burgos (Spain) is an example. Placing sensors throughout the water distribution network enables data recording, allowing us to monitor water quality and identify network malfunctions in near real time.
These are just some of the highlights of the road this technological revolution is heading. There are still some lingering questions about privacy around big data, and governments need to adapt their laws to this new paradigm. According to many researchers, be an opportunity to change society Just like we experienced with the arrival of electricity.
sauce: Byte Magazine, New York Times Magazine, News, TechTarget, El País, Sustainability for all, Datamation
