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Course Outline
- basis, objectives and application of data warehouse, data warehouse server types
- base building ETL processes in SSIS
- basic design data cubes in an Analysis Services: measure group measure
- dimensions, hierarchies, attributes,
- development of the project data cubes: measures calculated, partitions, perspectives, translations, actions, KPIs,
- Build and deploy, processing a partition
- the base XML / A: Partitioning, processes and overall Incremental, delete partitions, processes of aggregation,
- base MDX language
Requirements
Knowledge of Windows, basic knowledge of SQL and relational databases.
14 Hours
Testimonials (3)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
Practical exercises with our data
Marcel Richard - Lang Energie AG / Osterwalder Zurich AG
Course - Business Intelligence and Data Analysis with Metabase
Machine Translated
The thorough / hands-on knowledge the trainer has.
