CERTIFICATES

This module introduces students to data warehouse concepts, architecture consideration, main hardware considerations for building a data warehouse, and designing and implementing a schema for a data warehouse.

This module focuses on Azure SQL Data Warehouses and on how to implement them, implement data and control flow in a SSIS package. This module also covers debugging and troubleshooting SSIS packages.

This module is designed to understand the implementation of an SSIS solution that supports incremental DW loads, changing data and how to implement master data services to enforce data integrity at source.

This course examines the configuration and deployment of SSIS packages in a sample production environment. Students also learn about creating SSIS packages and environments for an SSIS solution.

This course introduces students to key BI concepts and the Microsoft BI product suite. It also focuses on creating multidimensional databases using SQL Server Analysis Services. It also covers attribute hierarchies, relationship hierarchies and dimension attributes.

This module examines the implementation of dimensions in a cube along with measures and measure groups in a cube.

This course covers the syntax of MDX and usage of it. Participants will also learn about customization of cube functionality, implementing key performance indicators, perspectives and translations.

This course is designed to implement a tabular data model in Power Pivot and the usage of data mining techniques for performing predictive analysis. Participants will be able to calculate columns and measures by using DAX and create a data mining solution by the end of course