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)

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
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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- Some course materials may seem outdated, especially in terms of the software versions used and references to deprecated features.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.
Related Topics
996228
udemy ID
27/10/2016
course created date
29/06/2019
course indexed date
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