Data platformsLaajuus (5 cr)

Objective

The student understands the need for data platforms from the starting points of business success. The student knows how to utilize and develop modern data platforms and automate data processing and data analysis workflows (MLOps, DataOps) in order to make the work steps more efficient and improve the quality of the analysis.

Content

Best practices for data platform development, automation of data processing work steps and data platform architecture planning.

Assessment criteria, excellent (5)

The student understands the importance of a data platform for business and knows how to implement a data platform that supports business. The student knows how to automate the work steps of data processing and refine raw data into a versatile data platform.

Assessment criteria, good (3)

The student understands the importance of the data platform, the automation of work steps and knows how to develop a data platform suitable for the company's needs.

Assessment criteria, satisfactory (1)

The student understands the importance of a data platform for business and can, with assistance, develop a simple data platform.