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Big Data Engineering

Big Data Engineering 03 WEEKS BIG DATA
Lesson 8 Students 60+ Beginner

Big Data Engineering

Course Overview

This course provides in-depth knowledge of Big Data Engineering, covering data ingestion, distributed processing, ETL pipelines, cloud-based data platforms, and real-time analytics. Learn how to work with Hadoop, Apache Spark, Kafka, Hive, Airflow, and cloud technologies to build reliable, scalable, and high-performance data solutions used by leading organizations.

Course Description

Master modern Big Data engineering by designing scalable data pipelines, processing massive datasets, and building cloud-ready data architectures.

Live instructor-led training
Hands-on practice sessions
Career guidance support
Course Details
Course Prerequisites
  • Basic programming knowledge (Java or Python preferred)
  • Understanding of SQL and relational databases
  • Familiarity with Linux command line
  • Basic knowledge of data structures
Target Audience
  • Aspiring Big Data Engineers
  • Data Engineers
  • Software Developers
  • Cloud Engineers
What You Will Learn
  • Designing scalable Big Data architectures
  • Building ETL and ELT data pipelines
  • Processing batch and real-time data
  • Working with Hadoop and HDFS
Download Curriculum

Download the course curriculum PDF or contact us for the complete training plan.

  • Introduction to Big Data Engineering
  • Big Data Architecture
  • Linux Essentials for Data Engineers
  • HDFS and Hadoop Ecosystem
Course Syllabus
  • Introduction to Big Data Engineering
  • Big Data Architecture
  • Linux Essentials for Data Engineers
  • HDFS and Hadoop Ecosystem
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