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.
Specification: Introduction to Data Engineering
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