Hadoop Developer In Real World
Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting
4.51 (3369 reviews)

15 628
students
20.5 hours
content
Jul 2020
last update
$199.99
regular price
What you will learn
Understand what is Big Data, the challenges with Big Data and how Hadoop propose a solution for the Big Data problem
Work and navigate Hadoop cluster with ease
Install and configure a Hadoop cluster on cloud services like Amazon Web Services (AWS)
Understand the difference phases of MapReduce in detail
Write optimized Pig Latin instruction to perform complex data analysis
Write optimized Hive queries to perform data analysis on simple and nested datasets
Work with file formats like SequenceFile, AVRO etc
Understand Hadoop architecture, Single Point Of Failures (SPOF), Secondary/Checkpoint/Backup nodes, HA configuration and YARN
Tune and optimize slowing running MapReduce jobs, Pig instructions and Hive queries
Understand how Joins work behind the scenes and will be able to write optimized join statements
Wherever possible, students will be introduced to difficult questions that are asked in real Hadoop interviews
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Our Verdict
(Rating: 4.51/5) The Hadoop Developer in Real World course provides a strong foundation for beginners looking to enter the Big Data world, offering hands-on experience through free cluster access, real-world examples, and troubleshooting techniques. While some aspects may require up-to-date knowledge, this course remains an excellent starting point for aspiring Hadoop developers.
What We Liked
- Comprehensive coverage of Hadoop developer topics with real-world examples
- Life-time access to a Hadoop cluster for hands-on practice
- Detailed troubleshooting and optimization techniques not found in other courses
- Clear and concise explanations, suitable for beginners
Potential Drawbacks
- Some examples are Java-centric which could challenge non-programming background learners
- Real-world project experience discussions could be more in-depth and detailed
- Content may seem outdated to some learners, requiring additional study or research
- Occasional discrepancies between commands in the course and required permissions
Related Topics
384458
udemy ID
04/01/2015
course created date
21/11/2019
course indexed date
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