Learn Big Data: The Hadoop Ecosystem Masterclass

Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper
4.55 (8468 reviews)
Udemy
platform
English
language
Other
category
instructor
Learn Big Data: The Hadoop Ecosystem Masterclass
40 540
students
6 hours
content
Sep 2021
last update
$74.99
regular price

What you will learn

Process Big Data using batch

Process Big Data using realtime data

Be familiar with the technologies in the Hadoop Stack

Be able to install and configure the Hortonworks Data Platform (HDP)

Course Gallery

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Comidoc Review

Our Verdict

The Learn Big Data: The Hadoop Ecosystem Masterclass offers a wide-ranging view of various tools in the Hadoop ecosystem. Although it has room for improvement in installation and configuration clarity, its updated content and marvelous coding demos provide valuable insights to both beginners and non-developers looking to understand Hadoop architectural design. However, brace for challenges like audio overlap and discrepancies between captions and spoken words which may negatively affect your learning experience.

What We Liked

  • Comprehensive coverage of Hadoop ecosystem tools like HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, and Zookeeper
  • Updated in September 2021 to ensure relevance
  • Detailed high-level overview of Hadoop capabilities, beneficial for non-developers in understanding architecture design
  • Marvelous coding skills demonstrated by the instructor

Potential Drawbacks

  • Installation and configuration content is too fast and not compatible with various individual setups
  • Lectures may focus on reading slides, lacking elaboration and overviews of new concepts
  • Audio overlap issues in some lectures, resulting in a disturbed learning experience
  • Captions have discrepancies compared to the actual lecture content
  • A lack of hands-on experiences, required resources, or code repositories for practice

Related Topics

768670
udemy ID
20/02/2016
course created date
29/07/2019
course indexed date
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