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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> Packt Publishing
·-- LECTURESHIP ---·> Getting Started with Hadoop 2.x
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- PERIOD in HRS--·> 02+
·-- SCALE ---------·> 12x50mb
·-- LECTURE LINK --·> https://goo.gl/jp2HoS
Hadoop emerged in response to the proliferation of masses and masses of
data collected by organizations, offering a strong solution to store,
process, and analyze what has commonly become known as Big Data. It
comprises a comprehensive stack of components designed to enable these
tasks on a distributed scale, across multiple servers and thousands of
machines.
This course introduces you to the powerful system synonymous with Big
Data, demonstrating how to create an instance and leverage Hadoop
ecosystem's many components to store, process, manage, and query massive
data sets with confidence.
The video course opens with an introduction to the world of Hadoop,
where we discuss Nodes, Data Sets, and operations such as map and
reduce. The second section deals HDFS, Hadoop's file-system used to
store data. Further on, youÆll discover the differences between jobs and
tasks, and get to know about the Hadoop UI. After this, we turn our
attention to storing data in HDFS and Data Transformations. Lastly, we
will learn how to implement an algorithm in Hadoop map-reduce way and
analyze the overall performance.