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.
The data lake is where long-term data containers gather that capture, clean, and explore any raw data format at scale. Data subsets are powered by low-cost technologies that many downstream possibilities can benefit from, including data warehouses, and recommendation engines.
Product lifecycle management refers to the examination of a product as it goes through certain stages of its lifecycle.
Hadoop is a distributed data management platform or open source recovery framework used to store and process big data. Sometimes it can also be described as a reduced distributed operating system.
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