This SQL Server Analysis Services SSAS training course covers the creation of data warehouses and cubes, discovery and preparation of data, ready forretrieval and presentation of the data in insightful and attractive reports and dashboards. We spend time modelling data in Analysis Services (SSAS) with a little help from Integration Services (SSIS). Both SSAS multidimensional and tabular models (including Power Pivot) are covered – these are the power houses that drive your reports and dashboards. Finally, we concentrate upon SSIS, so you can learn how to assemble, modify, and clean your data.
Anyone interested in getting raw data to the end user as information that has integrity, is retrieved quickly and requires little or no programming. Some basic SQL skills would be an advantage.
Business Intelligence overview
Analysis Services (SSAS) Multidimensional and Tabular mode
Review of third normal form and relational OLTP databases
Introduction to relational star schemas
Introduction to multidimensional cubes
Introduction to SSAS tabular models
Building dimension tables
Building fact tables
Building cubes in BIDS/SSDT
Developing an Integration Services ETL package
Attribute hierarchies
User hierarchies and drill-down
Attribute relationships
Key collections
Parent-child dimensions
Calculations and named sets (using MDX expressions)
KPIs (using MDX)
Actions (drill-through and reporting)
Partitions and aggregation design
Perspectives
MDX queries
SSRS reports on multidimensional and tabular cubes
Excel pivot tables
PowerPivot and DAX
Backing up and restoring star schemas
Backing up and restoring cubes
Slowly-changing dimensions
Incremental updates
Security
Integration services (SSIS)
Workflow
Control Flow toolbox overview
Data Flow toolbox (ETL) overview
Package variables
Script Task
Execute SQL Task
Send Mail Task
WMI Event Watcher Task
Sequence Container
Foreach Loop Container
Sources, destinations, and transformations
Data Viewers
Conditional Split transformation
Derived Column transformation
Lookup transformation (with caching, Sort and Merge transformations)
Fuzzy Grouping transformation
Deploying packages
Executing packages with dtexec and stored procedures
Scheduling packages with SQL Server Agent
Configuring packages
Logging packages
Security
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