Data Engineering
Issued by
Saint Mary’s University of Minnesota
Saint Mary's badge in Data Engineering utilizes data processing requirements necessary to implement technology-based analytics. Earners can perform extract, transform, and load (ETL) processes using structured and unstructured data formats, assess data for error and use techniques to improve data integrity, determine appropriate data formats for given situations, design and document processes for converting raw data into products suitable for analysis, and identify legal and ethical issues.
- Type Validation
- Level Advanced
- Time Weeks
Skills
- Advanced Data Analytics
- Big Data Architecture
- Cleaning Data
- Communicating Effective Workflows
- Custom Data Pipelines
- Data Ethics
- Data ETL
- Data Extraction
- Data Integrity
- Data Loading
- Data Privacy
- Data Storage
- Data Transformation
- Data Wrangling
- Design And Create Workflows
- Flat File And Relational Data
- GeoJSON And XML Data
- JSON
- MongoDB
- NoSQL
- Notepad++
- Pivot Tables
- Postman
- Standardizing And Filtering Data
- Structured Data Processing
- Unstructured Data Processing
Earning Criteria
Standards
Credits earned can be applied toward Saint Mary's Master of Science in Data Intelligence and GeoAnalytics