Overview
Demonstrate proficiency with practical projects in the Data lakes and Lakehouses with Spark and Azure Databricks course at Udacity.
Features
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
- Gain proven experience
- Retain knowledge longer
- Apply new skills immediately
Programme Structure
Courses include:
- Big Data Ecosystem, Data Lakes, and Spark
- Data Wrangling with Spark
- Spark Debugging and Optimization
- Azure Databricks
- Data Lakes and Lakehouse with Azure Databricks
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 463 other Short Courses in Data Science & Big Data in United StatesWhat 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
- No prior technical experience required.
- You will need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.