HADOOP DEVELOPER IN REAL WORLD

HADOOP DEVELOPER IN REAL WORLD

HADOOP DEVELOPER IN REAL WORLD

HADOOP DEVELOPER IN REAL WORLD

HADOOP DEVELOPER IN REAL WORLD

Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting

What Will I Learn?

  1. Comprehend what is Big Data, the difficulties with Big Data and how Hadoop propose an answer for the Big Data issue
  2. Work and explore Hadoop bunch effortlessly
  3. Introduce and design a bunch that is hadoop cloud administrations like Amazon Web Services (AWS)
  4. Comprehend the distinction periods of MapReduce in detail
  5. Compose enhanced Pig Latin guidance to perform information investigation that is complex
  6. Compose enhanced Hive questions to perform information examination on basic and datasets that are settled
  7. Work with document designs like SequenceFile, AVRO and so on
  8. Comprehend Hadoop design, Single Point Of Failures (SPOF), Secondary/Checkpoint/Backup hubs, HA arrangement and YARN
  9. Tune and advance abating running MapReduce occupations, Pig directions and inquiries that are hive
  10. See how Joins function in the background and will have the capacity to join compose upgraded articulations
  11. Wherever conceivable, understudies will be acquainted with troublesome inquiries that are asked in genuine Hadoop interviews

Requirements

  • In spite of the fact as we will take a gander at programs in Java that you don’t need to be a specialist in Java, fundamental learning in Java writing computer programs is required.
  • Essential Linux directions

Description

From the makers of the Hadoop that is fruitful Starter course facilitated in Udemy, comes Hadoop In Real World course. This course is intended for any individual who yearn a profession as a Hadoop designer. In this course we have secured every one of the ideas that each Hadoop that is trying designer know to SURVIVE in REAL WORLD Hadoop situations.

The course covers all the must know points like HDFS, MapReduce, YARN, Apache Pig and Hive and so forth and we dive deep in investigating the ideas. We simply don’t stop with the ideas that are simple we make it a stride further and cover critical and complex themes like record groups, custom Writables, input/yield designs, investigating, advancements and so forth.

All ideas are sponsored by intriguing ventures that are hands-on investigating million melody dataset to discover less comfortable specialists with hot tunes, positioning pages with page dumps from wikipedia, recreating common companions usefulness in Facebook just to give some examples.

Who is the target audience?

  • This course is for any individual who try a vocation as a Hadoop Developer
  • This course is for any individual who need to learn and comprehend top to bottom about Hadoop and Big Data

Tabel Of Content : Udemy

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