The in-memory batch-processing framework sheds more JVM performance bottlenecks as a major Hadoop vendor eyes Spark as a full-blown replacement for the aging MapReduce Apache Spark, the in-memory data ...
「MapReduce」よ、道を譲ってくれ。君はここまでよく頑張ってくれたが、今日のビッグデータ開発者が求めているのは、処理速度と簡潔性だ。 「Apache Hadoop」（以下Hadoop）環境で稼働するフレームワークとして、最近登場した、高速処理が得意な「Apache Spark ...
Clusters must be tuned properly to run memory-intensive systems like Spark, H2O, and Impala alongside traditional MapReduce jobs. This Hadoop Summit 2015 talk describes Altiscale’s experience running ...
Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours Apache Spark got its start in 2009 at UC Berkeley’s AMPLab as a way ...
A team of professors that has created the in-memory Spark and Shark platforms for analyzing big data has raised nearly $13.9 million to commercialize those products. The company is still in stealth ...
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