Hadoop Course
This course equips you with Hadoop skills for real-time retail analytics. You will learn to optimise HDFS layouts, ingest data via Kafka, process with Spark ETL, tune Hive and Presto for performance, and monitor data quality to create fast, dependable big data pipelines supporting dashboards, machine learning models, and key business insights.

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.What our students say
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The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

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