[PDF] Top 20 MapReduce and Big Data: an overview
Has 10000 "MapReduce and Big Data: an overview" found on our website. Below are the top 20 most common "MapReduce and Big Data: an overview".
MapReduce and Big Data: an overview
... large data sets on commodity hardware for the company’s internal needs; the main contribution of MapReduce was a simple interface in a functional programming style – inspired, in fact, by map and reduce ... See full document
15
Big data clustering with varied density based on MapReduce
... of data are produced every day, such that a single machine alone cannot process this volume of data; hence, new technologies are required to store and extract information from this volume of ...of ... See full document
16
Incremental Mapreduce In Big Data Environment
... for big data analysis. As new data and updates are being collected, the input data of a big data mining algorithm will gradually change, and the computed results will become ... See full document
6
Optimizing mapreduce functionality in big data using cache manager
... For big data sets the communication between Data nodes and Name node affect the performance of MapReduce ...the data locations which will preferentially decrease the data ... See full document
6
Effective Detection of DDOS Based on Big Data MapReduce
... Abstract: Distributed Denial of Service (DDoS) attacks is large-scale cooperative attacks launched from a large number of compromised hosts called Zombies are a major threat to Internet services. As the serious damage ... See full document
7
HadoopWeb: MapReduce Platform for Big Data Analysis
... various MapReduce Applications on Big Data in cloud based Hadoop cluster and concluded that the results of MapReduce Applications are dependent on the size of Hadoop ...various ... See full document
6
Comparative Analysis Of Big Data Analytical Techniques Using Mapreduce
... the data sets pro- ...Abstract: Big Data is becoming an emerging topic related to database which is growing tremendously every single day; this has formatted to form wide variety of structured and ... See full document
6
A Survey on Big Data Analytics and MapReduce Operations on Distributed Systems
... : MapReduce is a programming model used for generating and processing large datasets and terabytes of data across multiple ...and big data analytics on the distributed systems. Big ... See full document
10
Applications of MapReduce in big data concepts
... Big data analytics is challenging for storage and creating a cluster in Hadoop and using map reduce technique analysis of large data ...of data, processing and availability of data, the ... See full document
5
Big Data Processing Using Hadoop MapReduce Programming Model
... processing data is a very important ...of data is not sufficient for storing large chunks of database. The data is too big, moves too fast, or doesn’t fit the structures of the current ... See full document
6
On Transit-Attentive Separation and Gathering in Mapreduce for Big data Application
... The MapReduce programming model simplifies large-scale data processing on commodity cluster by exploiting parallel map tasks and reduce ...of MapReduce jobs, they ignore the network traffic generated ... See full document
5
A FUNDAMENTAL CONCEPT OF MAPREDUCE WITH MASSIVE FILES DATASET IN BIG DATA USING HADOOP PSEUDO-DISTRIBUTION MODE.
... and MapReduce programming model is used for storage and retrieval of the big ...data. Big data can be any structured collection which results incapability of conventional data ... See full document
5
Review of Apriori Based Algorithms on Mapreduce Framework In Big Data
... precise data, the search space for mining data from uncertain data is much larger due to the presence of the existential ...in Big Data ...for Big data ...existing ... See full document
7
ANALYSIS OF BIG DATA PROCESSING BY DISTNCT USE OF HADOOP’S MAPREDUCE
... of data warehouses are unable to satisfy the needs of data ...of data sets reliably through HDFS and MapReduce for storing and processing ...and MapReduce and survey the performance of ... See full document
6
Pursuit Of Data Aware Caching For Big-Data Using Mapreduce Framework Proposal
... buzz-word big-data refers to the large-scale distributed data processing applications that operate on exceptionally large amounts of data ...point, big data is commonly ... See full document
8
An Efficient Approach for Processing Big Data with Incremental MapReduce
... Big data is the term for a collection of data sets so big and complex that it becomes difficult to process using on-hand database management tools or traditional data processing ... See full document
5
On Traffic-Aware Partition and Aggregation in Mapreduce for Big Data Applications
... The MapReduce programming model simplifies large-scale data processing on commodity cluster by exploiting parallel map tasks and reduce ...of MapReduce jobs, they ignore the network traffic generated ... See full document
5
Big Data Analysis: Comparision of Hadoop MapReduce, Pig and Hive
... ABSTRACT: Big data has fast developed into a hot topic that attracts extensive attention from academia, industry, and governments around the ...of big data sets across clusters of computers ... See full document
7
Big Data Clustering Using Genetic Algorithm On Hadoop Mapreduce
... important data mining methods. However, it fails to perform well for big data due to huge time ...approach. Mapreduce is a popular programming model which enables parallel processing in a ... See full document
5
MRPR: a MapReduce solution for prototype reduction in big data classification
... of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging ...dard data mining tools in such data sets is not ...training ... See full document
37
Related subjects