Data Engineering Basics (ETL)
Learn the fundamentals of Data Engineering, including data ingestion, transformation, storage, and processing. Explore key concepts such as ETL pipelines, databases, data warehouses, and cloud data solutions.
Satyajit Pattnaik
Instructor
Included with Data Science & AI - From Python to GenAI
What you will learn?
- Understand the Role of Data Engineering
- Learn how to extract, transform, and load (ETL) data
- Understand Big Data Technologies
- Learn how to collect, clean, transform, and store data efficiently
This Course Includes
- Recorded Lessons: 11
- Recorded Hours: 1
- Duration: 1 day (Avg)
- TD Assessment Available
- Access on Mobile
Course Description
This course introduces the fundamental principles of Data Engineering, covering essential concepts such as data ingestion, transformation, and storage. You will learn how to design and build ETL (Extract, Transform, Load) pipelines, work with relational and NoSQL databases, and implement data warehousing solutions.
The course also explores cloud-based data engineering tools and big data technologies like Apache Spark and Hadoop. By the end, you'll have a solid foundation in managing and processing large-scale data efficiently, preparing you for a career in data engineering.
Course Content
11 Lessons | 0hr 39min
Frequently Asked Questions
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₹999
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