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Learn Data Engineering

This course covers the essentials of data engineering, from handling structured and unstructured data to designing scalable systems with Hadoop, Spark, and Kafka.

4.6
29 Lessons
4h
Updated 2 weeks ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • An understanding of data flow and common data engineering concepts
  • Working knowledge of SQL and Python for fetching and manipulating structured data
  • Hands-on experience with NoSQL databases like MongoDB for unstructured data
  • The ability to design scalable data systems using data warehouses and lakehouses
  • Familiarity with Hadoop, Spark, and Kafka for big data processing and streaming

Learning Roadmap

29 Lessons43 Quizzes

1.

Dive into Data Engineering

Dive into Data Engineering

Learn how to understand and follow the data’s journey through data engineering.

3.

Think Outside the Table

Think Outside the Table

2 Lessons

2 Lessons

Learn how to handle unstructured and semi-structured data using NoSQL and MongoDB.

4.

Explore Data Worlds!

Explore Data Worlds!

3 Lessons

3 Lessons

Learn how to design scalable data systems using warehouses, lakehouses, and OLAP cubes.

5.

Process and Manage Big Data Effectively

Process and Manage Big Data Effectively

6 Lessons

6 Lessons

Learn how to store, process, and stream massive data using Hadoop, Spark, and Kafka.

6.

Clean It Up

Clean It Up

6 Lessons

6 Lessons

Learn how to clean, reshape, and prepare data using pandas for reliable analysis.
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Author NameLearn Data Engineering
Developed by MAANG Engineers
ABOUT THIS COURSE
Data engineering is the foundation of modern data infrastructure, focusing on building systems that collect, store, process, and analyze large datasets. Mastering it makes you a key player in modern data-driven businesses. As a data engineer, you’re responsible for making data accessible and reliable for analysts and scientists. In this course, you’ll begin by exploring how data flows through various systems and learn to fetch and manipulate structured data using SQL and Python. Next, you’ll handle unstructured and semi-structured data with NoSQL and MongoDB. You’ll then design scalable data systems using data warehouses and lakehouses. Finally, you’ll learn to use technologies like Hadoop, Spark, and Kafka to work with big data. By the end of this course, you’ll be able to work with robust data pipelines, handle diverse data types, and utilize big data technologies.
ABOUT THE AUTHOR

Khayyam Hashmi

Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.

Learn more about Khayyam

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