OREILLY ANALYZING BIG DATA WITH HADOOP AWS AND EMR TUT-OXBRiDGE


OREILLY ANALYZING BIG DATA WITH HADOOP AWS AND EMR TUT-OXBRiDGE

OREILLY ANALYZING BIG DATA WITH HADOOP AWS AND EMR TUT-OXBRiDGE | 372.92 MB

University of OXford & University of camBRiDGE
...is a collective term for characteristics that the two institutions share.
-- PUBLISHER -----> Infinite Skills
-- LECTURESHIP ---> Analyzing Big Data with Hadoop, AWS, and EMR
-- LECTURE DATE --> 05-2017
03-2017 {Published}
-- PERIOD in HRS--> 01+
-- SCALE ---------> 08x50mb
-- LECTURE LINK --> https://goo.gl/l3062z
Hadoop is today's most pervasive technology used in Big Data for
distributing the processing of massive data sets across clusters of
commodity computers. With Amazon's Elastic MapReduce service (EMR), you
can rent capacity through Amazon Web Services (AWS) to store and analyze
data at minimal cost on top of a real Hadoop cluster.
This course shows you how to use an EMR Hadoop cluster via a real life
example where you'll analyze movie ratings data using Hive, Pig, and
Oozie. It focuses on practical tips for using an EMR cluster
efficiently, integrating the cluster with Amazon's S3 service, and
determining the right money-saving size for a cluster. You'll learn how
to interact with your cluster through the Hue Web interface, from a
terminal prompt, as well as through EMR steps that can execute your
scripts automatically.

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