Java Parallel Computation On Hadoop

What you’ll be taught

  • Know the important ideas about Hadoop.
  • Know methods to setup a Hadoop cluster in pseudo-distributed mode.
  • Know methods to setup a Hadoop cluster in distributed mode (three bodily nodes).
  • Know methods to develop Java packages to parallelize computations on Hadoop.

Course Content material

  • Overview.
  • Background information about Hadoop.
  • The Hadoop Ecosystem.
  • Get Prepared in pseudo-distributed mode.
  • Get Prepared in distributed mode.
  • Giant-scale Phrase Counting.
  • Giant-scale Knowledge Sorting.
  • Giant-scale Sample Looking out.
  • Giant-scale Merchandise Co-occurrence.
  • Giant-scale Inverted Index.
  • Giant-scale Knowledge Aggregation.
  • Knowledge Preparation.

Construct your important information with this hands-on, introductory course on the Java parallel computation utilizing the favored Hadoop framework:

– Getting Began with Hadoop

– HDFS working mechanism

– MapReduce working mecahnism

– An anatomy of the Hadoop cluster

– Hadoop VM in pseudo-distributed mode

– Hadoop VM in distributed mode

– Elaborated examples in utilizing MapReduce

Study the Extensively-Used Hadoop Framework

Apache Hadoop is an open-source software program framework for storage and large-scale processing of data-sets on clusters of commodity {hardware}. Hadoop is an Apache top-level venture being constructed and utilized by a world group of contributors and customers. It’s licensed below the Apache License 2.0.

All of the modules in Hadoop are designed with a elementary assumption that {hardware} failures (of particular person machines, or racks of machines) are widespread and thus ought to be robotically dealt with in software program by the framework. Apache Hadoop’s MapReduce and HDFS parts initially derived respectively from Google’s MapReduce and Google File System (GFS) papers.

Who’re utilizing Hadoop for data-driven purposes?

You can be shocked to know that many corporations have adopted to make use of Hadoop already. Firms like Alibaba, Ebay, Fb, LinkedIn, Yahoo! is utilizing this confirmed expertise to reap its knowledge, uncover insights and empower their completely different purposes!

Contents and Overview

As a software program developer, you might need encountered the scenario that your program takes an excessive amount of time to run in opposition to great amount of knowledge. In case you are searching for a solution to scale out your knowledge processing, that is the course designed for you. This course is designed to construct your information and use of Hadoop framework by modules overlaying the next:

– Background about parallel computation

– Limitations of parallel computation earlier than Hadoop

– Issues solved by Hadoop

– Core tasks below Hadoop – HDFS and MapReduce

– How HDFS works

– How MapReduce works

– How a cluster works

– Methods to leverage the VM for Hadoop studying and testing

– How the starter program works

– How the info sorting works

– How the sample looking out

– How the phrase co-occurrence

– How the inverted index works

– How the info aggregation works

– All of the examples are blended with full supply code and embellishments

Come and be part of us! With this structured course, you’ll be able to be taught this prevalent expertise in dealing with Huge Knowledge.

Who this course is for:
  • IT Practitioners
  • Software program Builders
  • Software program Architects
  • Programmers
  • Knowledge Analysts
  • Knowledge Scientists

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