Expert Training Cloud Computing,Data Science & Analytics Big Data with Spark & Hadoop: Intro Course (2025)

Big Data with Spark & Hadoop: Intro Course (2025)

April 3, 2024 8:14 am

Big Data with Spark & Hadoop: Intro Course (2025)

Jumpstart your big data journey with this comprehensive Spark Hadoop intro course. Learn how to work with large-scale data using industry-standard tools like Apache Spark and Hadoop. Whether you’re aiming for a career in data engineering or looking to enhance your analytics capabilities, this course offers the perfect foundation in distributed computing and data processing.

What You’ll Learn

Core concepts of Big Data and distributed computing
Understanding the Hadoop ecosystem: HDFS, MapReduce, YARN
Introduction to Apache Spark and its key components
Processing structured and unstructured data with Spark
Using Spark SQL for querying big data
Integrating Hadoop with Spark for efficient workflows
Hands-on experience with data pipelines and real-world datasets

Requirements

Basic knowledge of programming (Python or Java preferred)
Familiarity with data concepts is helpful but not required
A computer with internet access to run cloud or local environments

Course Description

This Spark Hadoop intro course provides a beginner-friendly overview of the big data ecosystem, introducing learners to two of the most widely used platforms in the field: Apache Spark and Hadoop. Through a mix of theory and hands-on labs, you’ll learn how to store, process, and analyze massive datasets across distributed systems.

The course begins with foundational concepts of big data, including distributed computing and parallel processing. From there, it dives into the Hadoop ecosystem — covering HDFS for storage and MapReduce for processing — before transitioning into Apache Spark, known for its in-memory processing capabilities and speed.

By the end of this course, you’ll understand how Spark and Hadoop work together in modern data workflows, and you’ll be equipped to begin building your own scalable data applications.

About the Instructor

This course is developed by data engineers and analytics professionals with years of industry experience. The instruction is designed to be accessible and practical, with real-world examples and use cases throughout.