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
Content
1.
Dive into Data Engineering
2 Lessons
Learn how to understand and follow the data’s journey through data engineering.
2.
Talk to Data
8 Lessons
Learn how to fetch, query, and manipulate structured data using SQL and Python.
3.
Think Outside the Table
2 Lessons
Learn how to handle unstructured and semi-structured data using NoSQL and MongoDB.
4.
Explore Data Worlds!
3 Lessons
Learn how to design scalable data systems using warehouses, lakehouses, and OLAP cubes.
5.
Process and Manage Big Data Effectively
6 Lessons
Learn how to store, process, and stream massive data using Hadoop, Spark, and Kafka.
6.
Clean It Up
6 Lessons
Learn how to clean, reshape, and prepare data using pandas for reliable analysis.
Certificate of Completion
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