The emergence of big data has brought a great impact on traditional computing mode, the distributed computing framework represented by MapReduce has become an important solution to this problem. Based on the big data, this paper deeply studies the principle and framework of MapReduce programming. On the basis of mastering the principle and framework of MapReduce programming, the time consumption of distributed computing framework MapReduce and traditional computing model is compared with concrete programming experiments. The experiment shows that MapReduce has great advantages in large data volume
AbstractRecent innovations in Big Data have enabled major strides forward in our ability to glean im...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Big data refers to a large quantity of data that has to be processed at one time. With the advanceme...
Recently, data that generated from variety of sources with massive volumes, high rates, and differen...
In the last two decades, the continuous increase of computational power has produced an overwhelming...
Аlthough they have existed for several years big data have not previously been of great value, becau...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Scalable by design to very large computing systems such as grids and clouds, MapReduce is currently ...
MapReduce is a programming model and an associated implementation for processing and generating larg...
MapReduce is a data processing approach, where a single machine acts as a master, assigning map/redu...
In the Big Data community, MapReduce has been seen as one of the key enabling approaches for meeting...
AbstractWith the development of computer technology, there is a tremendous increase in the growth of...
Our world is being revolutionized by data-driven methods: access to large amounts of data has genera...
Abstract. Big Data are becoming a popular technology focus both in science and in industry and motiv...
Nowadays cloud computing is becoming a trend on big data processing. Google created MapReduce model ...
AbstractRecent innovations in Big Data have enabled major strides forward in our ability to glean im...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Big data refers to a large quantity of data that has to be processed at one time. With the advanceme...
Recently, data that generated from variety of sources with massive volumes, high rates, and differen...
In the last two decades, the continuous increase of computational power has produced an overwhelming...
Аlthough they have existed for several years big data have not previously been of great value, becau...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Scalable by design to very large computing systems such as grids and clouds, MapReduce is currently ...
MapReduce is a programming model and an associated implementation for processing and generating larg...
MapReduce is a data processing approach, where a single machine acts as a master, assigning map/redu...
In the Big Data community, MapReduce has been seen as one of the key enabling approaches for meeting...
AbstractWith the development of computer technology, there is a tremendous increase in the growth of...
Our world is being revolutionized by data-driven methods: access to large amounts of data has genera...
Abstract. Big Data are becoming a popular technology focus both in science and in industry and motiv...
Nowadays cloud computing is becoming a trend on big data processing. Google created MapReduce model ...
AbstractRecent innovations in Big Data have enabled major strides forward in our ability to glean im...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Big data refers to a large quantity of data that has to be processed at one time. With the advanceme...