But now that we are all swimming in Big Data, MapReduce implemented on Hadoop is being packaged as a way for the rest of the world to get the power of this programming model and parallel computing ...

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 ...

Google and its MapReduce ... MapReduce programming model. Hadoop relies not on Google File System (GFS), but on its own Hadoop Distributed File System (HDFS). HDFS replicates data blocks in ...

Big Data doesn't always involve Hadoop and MapReduce. This is a point I have made before, and I probably won't shut up about it anytime soon. Hadoop is good for a lot, but it has a batch ...

Reporting and analysis tools help businesses make better quality decisions faster. The source of information that enables these decisions is data. There are broadly two types of data: structured and ...

Topics include Hadoop system architecture, Hadoop Distributed File System (HDFS), MapReduce programming model and design patterns and technologies surrounding Hadoop ecosystem such as Pig, Hive and ...

The MapReduce programming model that accesses and analyses data ... steeped as it is in open source. Chris Brown, big data lead at high-performance computing consultants OCF, says: “Big data ...

Since then, its adoption by big data companies has been on the ... computing platforms such as Hadoop providing a MapReduce programming model, in addition to its popular distributed file system ...

Reporting and analysis tools help businesses make better quality decisions faster. The source of information that enables these decisions is data. There are broadly two types of data: structured and ...