Course Outline
This course has been written to cover all the fundamentals of designing and building data warehouses and cubes using SQL Server 2008 Analysis Services (SSAS), and building high performance data integration solutions with SQL Server Integration Services, including extraction, transformation, and load (ETL) packages for data warehousing.
Our course demonstrates how to build star schemas in SQL Server and cubes in Analysis Services. In addition, it shows how to use Integration Services to migrate and transform data. This is applied to populating and updating OLAP star schemas and cubes from traditional normalised databases.
Available as a public or closed course at our London training centre, delivered on-site as a bespoke, customised training course.
Course Content
This course has been developed for real-world, commercial scenarios by our expert instructors. See below for detailed syllabus. If you have a technical question, please email sales@jbinternational.co.uk
What you will learn
By the end of this course the delegates will gain:
1. A thorough understanding of the need for data warehouses and OLAP.
2. A practical understanding of how to build star schemas and cubes in Analysis Services.
3. Practical skills in the use of Integration Services to transform data into star schemas and cubes.
4. Introduction to Reporting Services to display cubes.
SQL Server 2008 Analysis Services (SSAS) & Integration Services (SSIS) Training Course UK Training Course Outline
SQL Server 2008 R2 Analysis Services (2 days, Wednesday/Thursday)
Overview
Business Intelligence overview
Analysis Services (SSAS)
Review of third normal form and relational OLTP databases
Introduction to relational star schemas
Introduction to multidimensional cubes
Building dimension tables
Building fact tables
Building cubes in BIDS
Building cubes in PowerPivot
Developing an Integration Services ETL package
Dimension design
Attribute hierarchies
User hierarchies and drill-down
Attribute relationships
Key collections
Snowflaked and 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
Data mining
Clustering
Forecasting
Basket analysis
Decision trees
Data mining from Excel
Graphical DMX prediction queries
Visualisation
MDX queries
DMX queries
SSRS reports on cubes and data mining
Excel pivot tables
PowerPivot with DAX
PerformancePoint scorecards, analytic reports, and dashboards
Administration
Backing up and restoring star schemas
Backing up and restoring cubes and data mining
Slowly-changing dimensions
Incremental updates
Security
SQL Server 2008 R2 Integration Services (1 day, Friday)
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
Analysis Services tasks (with XMLA)
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
