What you will learn in Introduction to Data Engineering Course
List basic skills required for an entry-level data engineering role.
Discuss various stages and concepts in the data engineering lifecycle.
Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.
Summarize concepts in data security, governance, and compliance.
Program Overview
What is Data Engineering?
⏳ 1 hour
Understand the roles of Data Engineers, Data Scientists, and Data Analysts.
Learn about the responsibilities and skillsets of a Data Engineer.
The Data Engineering Ecosystem
⏳ 4 hours
Explore different types of data structures, file formats, and sources of data.
Gain knowledge about data repositories such as relational and non-relational databases, data warehouses, data marts, and data lakes.
Learn about ETL and ELT processes, data pipelines, and data integration platforms.
The Data Engineering Lifecycle
⏳ 4 hours
Understand the stages of the data engineering lifecycle, including data generation, ingestion, transformation, storage, and serving.
Learn about big data processing tools like Apache Hadoop and Spark.
Data Governance, Security, and Compliance
⏳ 4 hours
Learn about data security, governance, and compliance.
Understand the importance of data privacy and protection in data engineering.
Get certificate
Job Outlook
- Proficiency in data engineering is valuable for roles such as Data Engineer, Data Analyst, and Data Scientist.
- Skills acquired in this course are applicable across various industries, including finance, healthcare, and technology.
- Completing this course can enhance your qualifications for positions that require expertise in data management and analysis.
Explore More Learning Paths
Advance your data engineering skills with these curated programs designed to help you manage, process, and analyze large-scale datasets effectively while preparing for real-world engineering challenges.
Related Courses
- Data Engineering, Big Data, and Machine Learning on GCP Specialization Course – Learn to design and implement data pipelines, manage big data, and apply machine learning on Google Cloud Platform.
- Data Engineering Foundations Specialization Course – Gain foundational knowledge in data modeling, ETL processes, and pipeline development for scalable data solutions.
- DeepLearning.AI Data Engineering Professional Certificate Course – Build practical skills in data engineering, including cloud workflows, pipeline automation, and large-scale data handling.
Related Reading
Strengthen your understanding of structured data management:
- What Is Data Management? – Explore how proper data organization and governance are critical for efficient and reliable data engineering workflows.
Specification: Introduction to Data Engineering
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FAQs
- Explains the role of a data engineer in modern organizations
- Introduces data pipelines, ETL, and big data systems
- Covers essential databases and storage solutions
- Provides a foundation for advanced data engineering learning
- Students exploring data careers
- Professionals transitioning into data engineering
- Software developers curious about data workflows
- Anyone wanting to understand the basics of data management
- Understanding of data pipelines and ETL processes
- Basics of relational and non-relational databases
- Introduction to big data and distributed systems
- Familiarity with tools commonly used by data engineers
- Beginner-friendly structure
- Helpful to know Python or SQL basics
- No big data expertise needed to start
- Builds step by step towards intermediate skills
- Builds a strong foundation for data engineering careers
- Adds an IBM-backed certificate to your resume
- Opens opportunities in analytics, cloud, and IT fields
- Prepares learners for advanced specializations in data
