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Data Engineering Course Online - With Hadoop and Spark
1k+ interested Geeks
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The Data Engineering Online Course - with Hadoop and Spark is designed to help you master the skills needed for a successful career in data engineering. This course covers essential concepts such as big data processing, distributed systems, and data pipelines using powerful tools like Hadoop and Spark. Perfect for beginners and professionals, this course helps you build a solid foundation in data engineering and prepare for high-demand roles in the tech industry.
6 Weeks
1k+ interested Geeks
Track-based LearningAssessment testsCourse CertificateIndustry Readiness
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Course Overview
Start your data engineering journey with the GeeksforGeeks Online Data Engineering Program. With this course, you'll acquire essential data engineering knowledge and expertise, positioning you for success in this fast-growing industry.
This complete Data Engineering Course begins by introducing you to the basics of data engineering, focusing on how to set up a development environment using Hadoop and Spark. You'll learn to navigate the Hadoop Distributed File System (HDFS) and tackle simple MapReduce jobs to understand data processing fundamentals. The Data Engineering course also covers YARN (Yet Another Resource Negotiator), which helps manage resources in clusters.
Youll also gain hands-on experience with cluster management, learning how to set up, monitor, and maintain a Spark cluster.
Data Engineering Course - Highlights:
- 10hrs+ video content and articles/notice to learn the concepts
- 200+ MCQs to practice your knowledge
- Fundamentals of Hadoop and Spark, setting up a local development environment.
- Develop a working knowledge of NoSQL & Big Data using Hadoop, Apache Spark
- Learn ML with Spark MLlib and graph processing with GraphX
- Learn to set up and manage a Spark cluster and debug Spark applications.
- Hands-on:
- Running a simple MapReduce job | Hands-on: Working with HDFS and running a basic MapReduce job
- Writing and running Spark applications with Python
- Working with Spark DataFrames and performing SQL queries
- Building a simple Spark Streaming application
- Developing a PySpark application with Python
- Building and analyzing a graph using Spark GraphX
- Designing and implementing a simple data warehouse
- Building a basic ETL pipeline
- Working with a data lake
- Building a Kafka-Powered Data Pipeline
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Course Content
01Introduction to Data Engineering with Hadoop and Spark
- Course Introduction
- Overview of Data Engineering
- Introduction to Hadoop and Spark
- Setting up a development environment with Hadoop and Spark
- Hands-on: Installing Hadoop and Spark locally
02Hadoop Fundamentals
- Understanding Hadoop Distributed File System (HDFS)
- Hadoop MapReduce paradigm
- Introduction to YARN (Yet Another Resource Negotiator)
- Running a simple MapReduce job | Hands-on: Working with HDFS and running a basic MapReduce job
03Introduction to Apache Spark
- Overview of Apache Spark
- Spark architecture and components
- Spark RDD (Resilient Distributed Datasets)
- Transformations and Actions in Spark
- Hands-on: Writing and running Spark applications with Python
04Spark DataFrames and SQL
- Introduction to Spark DataFrames
- Spark SQL for querying structured data
- Basic DataFrame operations
- Optimizations in Spark DataFrames
- Hands-on: Working with Spark DataFrames and performing SQL queries
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Pricing
Frequently Asked Questions
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