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 ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

As analytics accelerate closer to real-time, historical analytics are not being displaced. The benefits of a comprehensive and historic view of data is becoming more than just a daydream. Imagine a ...

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 ...

The first Spark Summit East conference concluded yesterday, just a month after Apache Spark practically stole the show at the Strata+Hadoop World conference, reinvigorating the debate about where the ...

While MapReduce still enjoys widespread use in the Hadoop ecosystem, the number of new deployments that are being brought online is declining. And the trend has not gone unnoticed by the vendors that ...

Apache Spark, which has been shaking up the Apache Hadoop ecosystem for a couple years now, will come of age this year, moving from a talking point into enterprise deployment, according to a new ...

There is more to big data than Hadoop, but the trend is hard to imagine without it. Its distributed file system (HDFS) is helping businesses to store unstructured data in vast volumes at speed, on ...