Data engineering is currently one of the most in-demand fields in data and technology. It intersects software engineering, DataOps, data architecture, data management, and security. Data engineers, such as analysts and data scientists, lay the foundation to serve data for consumers.
In this course, you will learn the foundation of data engineering, covering different parts of the entire data life cycle: data warehouse, ingestion, transformation, orchestration, etc. You will also gain hands-on experience building data pipelines using different techniques such as Python, Kafka, PySpark, Airflow, dbt, and more.
By the end of this course, you will have a holistic understanding of data engineering and be able to build your data pipelines to serve data for various consumers.
Data engineering is currently one of the most in-demand fields in data and technology. It intersects software engineering, DataO...Show More
WHAT YOU'LL LEARN
An understanding of the data engineering life cycle
Familiarity with the cloud data warehouse and data modeling techniques
Hands-on experience with data engineering tools such as GCP, Airflow, Spark, and dbt
The ability to build data pipelines from scratch in Python
An understanding of the data engineering life cycle
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TAKEAWAY SKILLS
Content
2.
Data Team Structure
3 Lessons
Get started with the essentials of data team roles and effective team structures.
3.
Data Engineering Life Cycle
5 Lessons
Master the steps to implement and manage data engineering life cycle stages using Google Cloud.
4.
Cloud Data Architecture
6 Lessons
Grasp the fundamentals of cloud data evolution, service models, architectures, and best practices for efficiency and security.
5.
Data Ingestion
9 Lessons
Take a closer look at methods and tools for efficient data ingestion using Python.
6.
Data Modeling
8 Lessons
Focus on mastering data modeling and SQL for effective database and analytical operations.
7.
Data Orchestration
8 Lessons
Master data orchestration using tools like Airflow, Dagster, and dbt to enhance workflows.
8.
Data Quality
4 Lessons
Solve problems in measuring and maintaining data quality with schema validation and testing.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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