Subject: Distributed Database Systems Q1) Map Reduce and Distributed Databases
نویسندگان
چکیده
Map Reduce (Hadoop) is a popular framework for conducting data processing in a parallel manner. It requires us to take the data "out of" the database in order to process it efficiently, yet promises to achieve high-performance and scalable data processing by exploiting the power of a compute cluster (cloud) with ease. More recently, a marriage of MapReduce with DBMS Technologies has been touted as the new approach towards achieving both performance on the one hand as well as scalability and flexibility on the other hand. One example of such a hybrid architecture is HadoopDB by Abouzeid et al. [1].
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