Key Takeaways Free Hadoop courses help learners build strong big data foundations.Many courses cover real-world projects and ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

Here's where MapReduce saves our proverbial bacon. MapReduce by Example MapReduce is a coding pattern that abstracts much of the tricky bits of scalable computations. We're free to focus on the ...

Google's patent on MapReduce could potentially pose a problem for those using third-party open source implementations. Patent #7,650,331, which was granted to Google on Tuesday, defines a system ...

MapReduce needs to be pluggable, just like Web servers are now. Web applications can be easily developed in C# (and other languages), which is why the Web became mainstream as a platform, even ...

MapReduce: A programming model that simplifies distributed data processing by dividing tasks into map and reduce functions operating in a parallel, fault-tolerant manner.

Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...

Extracting business value from the ‘big data’ contained in these unstructured, distributed file systems is becoming increasingly important. Distributed programming models such as MapReduce enable this ...

Their approach also has some impressive energy efficiency figures, with 20X for the FPGA version of the MapReduce accelerator and 300X for the ASIC version. They note that there is a promising ...