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 ...

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 ...

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 ...

Discover the best big data tools and what to look for ... data in a distributed environment. Hadoop’s MapReduce programming model facilitates parallel processing. Developers specify a map ...

In a separate post, I’ll provide a more detailed and precise explanation of MapReduce, but this high-level explanation will do for now. But Big Data's not all about MapReduce. There’s another ...

The number of people who can implement a highly scalable application that processes petabytes of independent data relationship using the MapReduce programming model and who don’t work for Google ...

Qizmt is a distributed computation framework based on the MapReduce programming model for processing large data sets in processor clusters. The company hopes that the developer community will be ...