Different? Big Data and Data Science have Coinbase User List undoubtedly transformed the current digital and technological era. Both terms are Coinbase User List closely related to each other. The main difference between them is that the concept of Data Science is included within the concept of Big Data.
Data Science is carried out within the scope of Big Data to obtain useful information through predictive analysis, where the results are used to make intelligent decisions. Come on, without Big Data the concept of Data Science would not exist. And Coinbase User List without Data Science, Big Data would be worthless. The 3 main differences between Big Data and Data Science Large volumes of data (Big Data) are distinguished by the 3Vs: variety, speed and volume. Data Science,
For its part, provides the methods or techniques to analyze them. Big Data focuses on technology (Hadoop, Java, Hive, etc.) and analysis Coinbase User List tools and software. Instead, Data Science focuses on decision-making strategies and data dissemination using mathematics and statistics. Big Data extracts information from large volumes of data while Data Science uses machine learning algorithms and statistical methods with the aim that computers can obtain the most accurate predictions possible