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Based on the deforestation rates observed in 2005, projections indicated that the Amazon rainforest would experience a 40% reduction within two decades. While the rate of deforestation has slowed since the early 2000s, the forest continues to shrink annually, and satellite data analysis reveals a significant increase in deforestation since 2018.
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster.. A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary operation (such as ...
Deforestation and climate change. Deforestation in the tropics – given as the annual average between 2010 and 2014 – was responsible for 2.6 billion tonnes of CO 2 per year. That was 6.5% of global CO 2 emissions. Deforestation is a primary contributor to climate change, [1] [2] and climate change affects the health of forests. [3]
The Amazon rainforest, also called Amazon jungle or Amazonia, is a moist broadleaf tropical rainforest in the Amazon biome that covers most of the Amazon basin of South America. This basin encompasses 7,000,000 km 2 (2,700,000 sq mi), [2] of which 6,000,000 km 2 (2,300,000 sq mi) are covered by the rainforest . [3]
Amazon was founded on July 5, 1994, by Jeff Bezos in Bellevue, Washington. [6] The company originally started as an online marketplace for books but gradually expanded its offerings to include a wide range of product categories. This diversification led to it being referred to as "The Everything Store". [7]
In computer science, the reduction operator [1] is a type of operator that is commonly used in parallel programming to reduce the elements of an array into a single result. Reduction operators are associative and often (but not necessarily) commutative.