The Ultimate Hands-On Hadoop: Tame your Big Data!

Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!
4.57 (30741 reviews)
Udemy
platform
English
language
Data & Analytics
category
The Ultimate Hands-On Hadoop: Tame your Big Data!
187 441
students
14.5 hours
content
Apr 2025
last update
$149.99
regular price

What you will learn

Design distributed systems that manage "big data" using Hadoop and related data engineering technologies.

Use HDFS and MapReduce for storing and analyzing data at scale.

Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.

Analyze relational data using Hive and MySQL

Analyze non-relational data using HBase, Cassandra, and MongoDB

Query data interactively with Drill, Phoenix, and Presto

Choose an appropriate data storage technology for your application

Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.

Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume

Consume streaming data using Spark Streaming, Flink, and Storm

Course Gallery

The Ultimate Hands-On Hadoop: Tame your Big Data! – Screenshot 1
Screenshot 1The Ultimate Hands-On Hadoop: Tame your Big Data!
The Ultimate Hands-On Hadoop: Tame your Big Data! – Screenshot 2
Screenshot 2The Ultimate Hands-On Hadoop: Tame your Big Data!
The Ultimate Hands-On Hadoop: Tame your Big Data! – Screenshot 3
Screenshot 3The Ultimate Hands-On Hadoop: Tame your Big Data!
The Ultimate Hands-On Hadoop: Tame your Big Data! – Screenshot 4
Screenshot 4The Ultimate Hands-On Hadoop: Tame your Big Data!

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Comidoc Review

Our Verdict

The Ultimate Hands-On Hadoop: Tame your Big Data! lives up to its name, offering comprehensive training and hands-on experience with various big data tools. While the course demonstrates some age in certain areas, its solid foundation ensures you'll still acquire valuable skills for managing large-scale datasets and designing distributed systems.

What We Liked

  • Covers a wide range of Hadoop and Big Data technologies with in-depth explanations and hands-on exercises.
  • Excellent balance of concepts and practical implementation, making complex topics more accessible.
  • High-quality instruction from a knowledgeable and engaging instructor that can make even challenging subjects enjoyable.

Potential Drawbacks

  • Some course materials may seem outdated, especially in terms of the software versions used and references to deprecated features.
  • A few hands-on exercises are not as straightforward as they could be due to slight differences between current and past setups.
  • Limited explanations provided on using cloud-based services and recent use cases in AWS/Azure/GCP.
996228
udemy ID
27/10/2016
course created date
29/06/2019
course indexed date
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