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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

Expert in Generative AI, ML, NLP & Data Engineering

Here’s 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:  39min
  • Certificate of completion
  • 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 | 39min

About the instructor
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Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Satyajit Pattnaik has 13+ years of experience in AI, Data Analytics, and Data Science across industries such as telecom, cybersecurity, insurance, and e-commerce. With over a decade of training and teaching experience, he has conducted numerous sessions on Data Science, ML, and AI. He has also been a keynote speaker at international conferences and universities across the APAC region.

Frequently Asked Questions

ETL stands for Extract, Transform, and Load. It is a process used in data integration to move data from various sources into a data warehouse or database.

ETL is critical because it allows organizations to gather data from multiple sources, clean and format it, and store it in a centralized system for analytics.

The course is ideal for beginners, data analysts, data engineers, business analysts, and anyone interested in learning how to handle and process large amounts of data in an efficient and scalable way.

For beginners, tools like Talend Open Studio or Apache NiFi are great starting points as they are user-friendly, offer a visual interface, and come with built-in connectors for a variety of data sources and targets.

Basic knowledge of databases and SQL is helpful, but the course will guide you through the essentials of ETL. Some ETL tools also offer user-friendly interfaces that minimize the need for programming.
Data Engineering Basics (ETL)
(4.7)
39min
₹999 ₹1998
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