Highlights
- Gain an introduction to SQL Server Analysis Services (SSAS)
- Explore dimension design and cube design
- Work with visualisation tools
- Learn more about SSAS administration
- Gain an overview of SQL Server Integration Services (SSIS) and start to use it
- Design data warehouses and cubes with SSAS and SSIS
- Learn about control flow and data flow
Course Details
SQL Server Analysis Services
Overview
- 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
Dimension design
- Attribute hierarchies
- User hierarchies and drill-down
- Attribute relationships
- Key collections
- Parent-child dimensions
Cube design
- Calculations and named sets (using MDX expressions)
- KPIs (using MDX)
- Actions (drill-through and reporting)
- Partitions and aggregation design
- Perspectives
Visualisation
- MDX queries
- SSRS reports on multidimensional and tabular cubes
- Excel pivot tables
- PowerPivot and DAX
Administration
- Backing up and restoring star schemas
- Backing up and restoring cubes
- Slowly-changing dimensions
- Incremental updates
- Security
SQL Server Integration Services
Overview
- Integration services (SSIS)
- Workflow
- Control Flow toolbox overview
- Data Flow toolbox (ETL) overview
Control Flow
- Package variables
- Script Task
- Execute SQL Task
- Send Mail Task
- WMI Event Watcher Task
- Sequence Container
- Foreach Loop Container
Data Flow
- Sources, destinations, and transformations
- Data Viewers
- Conditional Split transformation
- Derived Column transformation
- Lookup transformation (with caching, Sort and Merge transformations)
- Fuzzy Grouping transformation
Administration
- Deploying packages
- Executing packages with dtexec and stored procedures
- Scheduling packages with SQL Server Agent
- Configuring packages
- Logging packages
- Security
Who should attend
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.
Feedback
4.8 out of 5 average
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
