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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.

Overview

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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.

Data engineering is the foundation of modern data infrastructure, focusing on building systems that collect, store, process, and...Show More

WHAT YOU'LL LEARN

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

An understanding of data flow and common data engineering concepts

TAKEAWAY SKILLS

SQL

Python

pandas

Learning Roadmap

29 Lessons43 Quizzes

Dive into Data Engineering

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

What Is Data Engineering?

How Data Travels

Talk to Data

Learn how to fetch, query, and manipulate structured data using SQL and Python.

Where Data Lives

Know Your Data

Meet the Data

Hello, Data! Meet SQL

Make Some Changes

Ask Bigger Questions

Mix and Match Data

Coding Exercise: Monitor Failed Job Counts by Server

Think Outside the Table

2 Lessons

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

Explore Data Worlds!

3 Lessons

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

Process and Manage Big Data Effectively

6 Lessons

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

Clean It Up

6 Lessons

Learn how to clean, reshape, and prepare data using pandas for reliable analysis.

Conclusion

Wrap up your journey and get ready to apply your data engineering skills.

Wrap Up

Appendix

Strengthen your understanding of key data engineering concepts.

Fundamentals of Data Engineering PDF

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Khayyam Hashmi

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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