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Hadoop Course

Hadoop Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in designing efficient HDFS structures, selecting best file formats, and applying smart partitioning for quick data analysis. Master building strong batch and near-real-time data pipelines using Spark, Kafka, Hive, and Airflow, along with data quality measures, handling delayed data, and monitoring to ensure reliable and high-performing large-scale operations.

Elevify advantages

Develop skills

  • Design efficient HDFS layouts with partitioning, bucketing, and optimal file formats for faster processing.
  • Optimise Hive, Spark, and query tools for low-latency and high-concurrency analytics.
  • Develop reliable batch and streaming ETL pipelines using Kafka, Spark, Oozie, and Airflow.
  • Apply data quality checks, deduplication, and late-data management for trustworthy data flows.
  • Monitor and manage Hadoop clusters using YARN, metrics, alerts, and capacity planning.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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