Apache Hadoop Community Spotlight: Apache Pig
... built to work in the Hadoop world, where data may or may not be structured or have known schemas. The Pig platform is built to provide a pipeline of operations. It is often used to do extract, transform, load (ETL) operations by pulling data from various sources and then doing the transformations in ...
... built to work in the Hadoop world, where data may or may not be structured or have known schemas. The Pig platform is built to provide a pipeline of operations. It is often used to do extract, transform, load (ETL) operations by pulling data from various sources and then doing the transformations in ...
Lecture 1 – Introduction
... Each node processes input from previous node(s) and send output to next node(s) in the graph ...
... Each node processes input from previous node(s) and send output to next node(s) in the graph ...
MapReduce on Multi-core
... of using this model is the simplicity it provides to the programmer to attain parallelism. The programmer need not deal with any parallelisation details, instead focuses on expressing application logic or computational task using sequential Map and Reduce function. Perhaps one major challenge with t ...
... of using this model is the simplicity it provides to the programmer to attain parallelism. The programmer need not deal with any parallelisation details, instead focuses on expressing application logic or computational task using sequential Map and Reduce function. Perhaps one major challenge with t ...
The Datacenter Needs an Operating System
... – Share data efficiently between independently developed programming models and applications – Understand cluster behavior without having to log into individual nodes – Dynamically share the cluster with other users ...
... – Share data efficiently between independently developed programming models and applications – Understand cluster behavior without having to log into individual nodes – Dynamically share the cluster with other users ...
Spark
... • Wide dependencies: each partition of the parent RDD is used by multiple child partitions Require data from all parent partitions to be available and to be shuffled across the nodes using a MapReducelike operation. ...
... • Wide dependencies: each partition of the parent RDD is used by multiple child partitions Require data from all parent partitions to be available and to be shuffled across the nodes using a MapReducelike operation. ...