As human interaction with technology grows by the day, the amount of data that is generated on a routine basis is immeasurable. This data is found in the raw form and is of immense value to business and research. Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Today, its importance to the world of business and commerce is well established, and there are many routes, including online courses and on-the-job trainings also.
In this field, we see fast evolutions and new advances, especially in artificial intelligence and machine learning. Big data refers to any large and complex collection of data.
What is big data?
Data is so important these days. Big Data is a collection of data that is huge in volume, yet growing exponentially with time. Data is so large in size and complexity that none of the traditional data management tools can store it or process it efficiently. As the name suggests, big data simply refers to extremely large data sets. This size, combined with the complexity and evolving nature of these data sets, has enabled them to surpass the capabilities of traditional data management tools. This way, data warehouses and data lakes have emerged as the go-to solutions to handle big data, far surpassing the power of traditional databases.
Some data sets that we can consider truly big data include:
Stock market data
Social media
Sporting events and games
Scientific and research data
History of Big Data
Big data refers to data that is so large, fast or complex that it's difficult or impossible to process using traditional methods.
Esta historia es de la edición August 2022 de BANKING FINANCE.
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Esta historia es de la edición August 2022 de BANKING FINANCE.
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