Overview
Skills covered include Database fundamentals, CassandraDB, PostgreSQL, and database normalization. This Data Engineering with AWS program at Udacity is ideal for those with a basic understanding of Python, SQL, and command-line interfaces. You'll learn from industry experts like Sean Murdock, Matt Swaffer, Ben Goldberg, Amanda Moran, and Valerie Scarlata, gaining hands-on experience with real-world projects.
At Udacity, we offer an empowering learning environment where you gain practical skills through our data engineering training, reinforced with top-tier support and expert feedback. This course will equip you with the knowledge and tools to excel in the field of data engineering.
Nanodegree Skills
- Data Modeling
Database fundamentals • Cassandradb • PostgreSQL • Database normalization • Denormalized data schemas • Data modeling basics
- Cloud Data Warehouses
Data extraction • Infrastructure as code • Olap cubes • Table design • Cloud computing fluency • ETL • Database fundamentals • AWS storage services • Table partitioning • Online transaction processing • AWS data warehouse • Redshift • Data warehouse architecture • Amazon s3
- Spark and Data Lakes
AWS data lakes • ELT • Big data fluency • Data wrangling • Amazon s3 • Amazon Athena • Data Lakehouse Architecture • Apache Spark • Data format fundamentals • AWS glue • Data lakes • Data transformation
- Automate Data Pipelines
Apache Airflow • Data pipeline dags • Data pipeline partitioning • Amazon s3 • Data pipeline maintenance • Redshift • Data pipeline creation • Data lineage
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Engineering with AWS
- Data Modeling
- Cloud Data Warehouses
- Spark and Data Lakes
- Automate Data Pipelines
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 4 months
Start dates & application deadlines
Language
Delivered
Disciplines
General Engineering & Technology Data Science & Big Data View 376 other programmes in General Engineering & Technology in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Relational data models
- Command line interface basics
- Intermediate Python
- Basic Python
- Basic github
- Intermediate SQL
- Basic SQL
- Amazon web services basics
- Relational database basics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 4 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 4 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Engineering with AWS.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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