Hadoop Course
This course provides hands-on training in Hadoop ecosystem for efficient big data processing, including HDFS optimization, ETL pipelines with Spark and Kafka, data quality assurance, and cluster management techniques.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This straightforward Hadoop course teaches you how to set up efficient HDFS structures, pick the best file formats, and use clever partitioning for quick data analysis. You'll create strong batch and near-real-time data flows using Spark, Kafka, Hive, and Airflow, while adding checks for data quality, handling delayed data, and monitoring methods to ensure big-scale jobs stay dependable, fast, and simple to manage.
Elevify advantages
Develop skills
- Design optimised HDFS setups: partitions, bucketing and file formats for better speed.
- Tune Hive, Spark and query engines for low-delay, high-volume analytics.
- Build strong batch and streaming ETL with Kafka, Spark, Oozie and Airflow.
- Implement data quality, deduplication and late-data handling for reliable data streams.
- Plan and monitor Hadoop clusters with YARN, metrics, alerts and capacity tuning.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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