In Udacity’s Data Engineering Nanodegree Program, learn to design and build production-ready data infrastructure, an essential skill for advancing your data career.
Overview of the Udacity’s Data Engineering Nanodegree Program
In Udacity’s Data Engineering Nanodegree Program, you’ll learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.
Udacity’s Data Engineering Nanodegree Program Syllabus
1. Data Modeling
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
2. Cloud Data Warehouses
Sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS).
3. Spark and Data Lakes
Understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark.
4. Data Pipelines with Airflow
Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.
5. Capstone Project
Combine what you’ve learned throughout the program to build your own data engineering portfolio project.
Instructors of Udacity’s Data Engineering Nanodegree Program
Here is a list of instructors associated with the Udacity Nanodegree Program:
1. Amanda Moran (Developer Advocate at Datastax)
Amanda is a developer Advocate for DataStax after spending the last 6 years as a Software Engineer on 4 different distributed databases. Her passion is bridging the gap between customers and engineering. She has degrees from University of Washington and Santa Clara University.
2. Ben Goldberg (Staff Engineer at Spothero)
In his career as an engineer, Ben Goldberg has worked in fields ranging from Computer Vision to Natural Language Processing. At SpotHero, he founded and built out their Data Engineering team, using Airflow as one of the key technologies.
3. Sameh El-Ansary (CEO at Novelari And Assistant Professor at Nile University)
Sameh is the CEO of Novelari, lecturer at Nile University, and the American University in Cairo (AUC) where he lectured on security, distributed systems, software engineering, blockchain and BigData Engineering.
4. Olli Iivonen (Data Engineer at Wolt)
Olli works as a Data Engineer at Wolt. He has several years of experience on building and managing data pipelines on various data warehousing environments and has been a fan and active user of Apache Airflow since its first incarnations.
5. David Drummond (VP of Engineering at Insight)
David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.
6. Judit Lantos (Data Engineer at Split)
Judit was formerly an instructor at Insight Data Science helping software engineers and academic coders transition to DE roles. Currently, she is a Data Engineer at Split where she works on the statistical engine of their full-stack experimentation platform.
7. Juno Lee (Instructor)
As a data scientist, Juno built a recommendation engine to personalize online shopping experiences, computer vision and natural language processing models to analyze product data, and tools to generate insight into user behavior.
Review: “Definitely worth enrolling in!”
After successfully completing the Nanodegree program, you will find that the program is very comprehensive and teaches you everything promised by the program.
Plus, the certification is also really helpful since this Udacity Nanodegree Program is well-recognized amongst multiple industries.