- Code
L.24310
- Amount of hours required
140
- Quartile of execution
1, 3
The Data Acquisition module will give you insight into data and the process of data acquisition, and how data is transformed into information.
We start with the theory of data acquisition. Topics like ETL, data warehouses, relational and non-relation databases, data classification and information architecture will be covered. By working on a data acquisition case, you also learn how to apply the theory and tools in practice. And finally, you create a complete data acquisition solution that extracts data from different sources and stores it in a data warehouse.
We start with the theory of data acquisition. Topics like ETL, data warehouses, relational and non-relation databases, data classification and information architecture will be covered. By working on a data acquisition case, you also learn how to apply the theory and tools in practice. And finally, you create a complete data acquisition solution that extracts data from different sources and stores it in a data warehouse.
Competences
- HBO ICT 6.3 OP/ANA/3
- HBO ICT 9.3 OP/REA/3
Learning goals
The student knows the basic concepts of data acquisition (how to acquire data and determine data quality, ETL, big data, business intelligence life cycle, etc.)
The student knows the basic concepts of data warehouses (star/snowflake, cubes, fact and dimension, etc.)
The student can design a data warehouse using various different methods (Kimball, Inmon and data vault)
The student can set up a data warehouse based on the concepts that were taught
Student can acquire data from different sources (API, Big Data, databases, etc.) by applying ETL and data quality
Tests
| Code | Name |
|---|---|
| WC | Werkcollege |
| T.50366 | 4.BID: Data Acquisition |