Objectives of the training
To provide the knowledge and skills required to identify the main concepts of data warehousing and to make use of effective approaches in designing a data warehouse.Targeted audience
Business analysts and developers.Prerequisite
General knowledge of computer science.Trainers
Course architecture
- What are data warehouses and why do they exist?
- Architecture of data warehouses and data stores
- Business Intelligence: data mining, data warehousing and data visualization
- Referential/Universal set (metadata)
- Different stages of data warehouse design
- Modeling, and the star, snowflake and galaxy models
- Considerations for Power BI
- Normalization rules for multidimensional schemas
- Modeling approaches: ascending, descending, mixed
- OLAP techniques (OnLine Analytical Processing): roll-up, drill-down, slice, dice, pivot, drill-through and drill-cross
- ROLAP, MOLAP and HOLAP servers
- Data warehousing applications (ETL, OLAP, etc.)
- Case studies and exercises in multidimensional modeling
- Illustration of various features using the Integration Services and Analysis Services modules in MS SQL Server.
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quotePrivate or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quote