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.
4.4
28 Lessons
4h
Updated 3 months ago
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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
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TAKEAWAY SKILLS
Learning Roadmap
Certificate of Completion
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