R is an open source programming language used for statistical analysis. Includes a command-line interface and various graphical interfaces. Popular types of algorithms are linear and nonlinear modeling, time series analysis, classification, and clustering. According to Gartner research, more than 50% of data science teams currently use R to a certain capacity. The R language competes with commercial products such as SAS and Fuzzy Logix.
Risk management, sometimes referred to as risk mitigation, is the process of developing a strategy to reduce certain individual risks until the aggregate risk level for an activity is reduced to an acceptable level.
Today's growing volume of data has made it necessary for companies to rethink their data management and storage strategies. Data deduplication is a technique that allows copies of the same or similar data to be detected in data storage systems and stored in a single copy.
DataOps (Data Operations) is a methodology developed to accelerate and optimize data management processes. Created with inspiration from the DevOps approach used in software development processes, DataOps covers all stages in which data is collected, processed, analyzed and made available.
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