MapReduce is a framework for processing and managing large-scale datasets in a
distributed cluster, which has been used for applications such as generating search indexes …

MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It
achieves high performance by exploiting parallelism among processing nodes while …

Yellow elephants are slow. A major reason is that they consume their inputs entirely before
responding to an elephant rider's orders. Some clever riders have trained their yellow …

US9218383B2 - Differentiated secondary index maintenance in log structured NoSQL data
stores - Google Patents US9218383B2 - Differentiated secondary index maintenance in log …

Block traces are widely used for system studies, model verifications, and design analyses in
both industry and academia. While such traces include detailed block access patterns …

Various methods and techniques have been proposed in past for improving performance of
queries on structured and unstructured data. The paper proposes a parallel B-Tree index in …

MapReduce has become the state-of-the-art for data parallel processing. Nevertheless,
Hadoop, an open-source equivalent of MapReduce, has been noted to have sub-optimal …

There are provided a system and a computer program product for operating multi-node data
stores. The system stores a data table in a first computing node and stores an index table in …

ABSTRACT Log-Structured-Merge (LSM) Tree gains much attention recently because of its
superior performance in write-intensive workloads. LSM Tree uses an append-only structure …

There are provided a system and a computer program product for operating multi-node data
stores. The system stores a data table in a first computing node and stores an index table in …