mapreduce
8 ResultsDictionary
MapReduce
A programming model from Google for processing huge data sets on large clusters of servers. It includes distribution, parallelizing and fault tolerant functions. Google uses MapReduce to set up...
Dictionary
Definition: MapReduce
A programming model from Google for processing huge data sets on large clusters of servers. It includes distribution, parallelizing and fault tolerant functions. Google uses MapReduce to set up its Web indexes. See Google and Hadoop.
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MapReduce translations, from skyscrapers to Hadoop clusters
Our last post presented an analogy for MapReduce. In this post, we layer real MapReduce vocabulary over the example to help decode the jargon that sometimes blocks understanding of Big Data.
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Microsoft rolls out 'Daytona' MapReduce runtime for Windows Azure
Microsoft is making available for download the first release a new piece of cloud analytics technology developed by its eXtreme Computing Group that is known as Project Daytona.
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Aster Data delivers 30 analytic packages and MapReduce functions for mainstream data analytics
The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.
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Architectural shift joins app logic with massive data sets to take advanced BI analytics to real-time performance
As we enter 2010, enterprises are including more forms of diverse data into their business intelligence (BI) activities. They're also diversifying the types of analysis that they expect from these...
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A technical look at how parallel processing brings vast new capabilities to large-scale BI and data analysis
The core problem we've solved is the ability for our engine to redistribute the data and the computation on the fly, as these queries and analysis are being performed. ... The combination of the...
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Greenplum pushes envelope with MapReduce and parallelism enhancements to its extreme-scale data offering
It seems that data infrastructure vendors are rushing to the realization that older database architectures have hit a wall in terms of scale and performance. The general solution favors exploiting...
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Databases leverage MapReduce technology to radically juice data scale, performance, analytics
With better data reach and inclusion, come better results. So BI allows leaders can establish the trends early that will determine their future success or failures. In a fast-paced, global, hyper...
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Google's parallel programming model
Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day...
Additional Results
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Hadoop 2.0: MapReduce in its place, HDFS all grown-up
Hadoop 2.0 makes MapReduce less compulsory and the distributed file system more reliable.
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MapReduce, streaming beyond Java
Hadoop Streaming allows developers to use virtually any programming language to create MapReduce jobs, but it’s a bit of a kludge. The MapReduce programming environment needs to be pluggable.
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MapReduce translations, from skyscrapers to Hadoop clusters
Our last post presented an analogy for MapReduce. In this post, we layer real MapReduce vocabulary over the example to help decode the jargon that sometimes blocks understanding of Big Data.
-
The MapReduce 101 story, in 102 stories
Can a skyscraper completed in 1931 be used to explain a parallel processing algorithm introduced in 2004? In this post, I use the anology of counting smartphones in the Empire State Building to...
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CEP and MapReduce: Connected in complex ways
Complex Event Handling (CEP) is the category of technology focused on handling large, continuous streams of data that must be processed in real-time. CEP is distinct from Big Data in the eyes of...
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MapReduce and MPP: Two sides of the Big Data coin?
To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds...
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Microsoft rolls out 'Daytona' MapReduce runtime for Windows Azure
Microsoft is making available for download the first release a new piece of cloud analytics technology developed by its eXtreme Computing Group that is known as Project Daytona.
-
Aster Data delivers 30 analytic packages and MapReduce functions for mainstream data analytics
The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.
-
Architectural shift joins app logic with massive data sets to take advanced BI analytics to real-time performance
As we enter 2010, enterprises are including more forms of diverse data into their business intelligence (BI) activities. They're also diversifying the types of analysis that they expect from these...
-
Amazon launches Hadoop data crunching service
Amazon on Thursday announced a new cloud computing service that uses Hadoop, a free software framework, to crunch tons of data. The service, called Amazon Elastic MapReduce, is designed for...
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A technical look at how parallel processing brings vast new capabilities to large-scale BI and data analysis
The core problem we've solved is the ability for our engine to redistribute the data and the computation on the fly, as these queries and analysis are being performed. ... The combination of the...
-
Greenplum pushes envelope with MapReduce and parallelism enhancements to its extreme-scale data offering
It seems that data infrastructure vendors are rushing to the realization that older database architectures have hit a wall in terms of scale and performance. The general solution favors exploiting...
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