EXceptional training for data analysts

Microsoft Business Intelligence 2014 Training Course

Create a data warehouse and then powerful Reports And Dashboards With SSRS, SSAS And Power BI

18 Feb London
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Microsoft Business Intelligence 2014 training course (code: BUSINT)


Our Microsoft Business Intelligence (BI) training course puts this key technology into perspective and de-mystifies its complexity. The course covers the discovery and preparation of data, the modelling of the data, and the presentation of the data in insightful and attractive reports and dashboards.

We initially look at SQL Server Reporting Services (SSRS) in detail and can optionally run through a demo of Power BI to compare – when you return to the office, you will easily be able to create wonderful and informative reports and dashboards. The latter part of the course is spent on data warehousing and cube design with the modelling tools within SQL Server Analysis Services (SSAS) and with a little help from Integration Services (SSIS).

Both SSAS multidimensional and tabular models are covered – these are the power houses that drive your reports and dashboards.


Anyone interested in getting raw data to the end user as information that has integrity, is retrieved quickly and requires little or no programming. Developers and analysts who need to design and build reports. Administrators who wish to deploy and manage reports. Some basic SQL skills would be an advantage.




SQL Server 2014 Reporting Services

SSRS overview

Reporting Services
Report Server
Report Designer
Report Builder
Report Manager
Designing reports – further techniques

Formatting (including dates and currency)

Using expressions
Conditional formatting (and green-band reporting)
KPIs for SSRS 2008 and earlier (optional)
KPIs for SSRS 2014/2012/2008 R2 (and data bars)
Grouping and drilldown
Grand totals, subtotals, and running totals
Interactive sorting
Charts and gauges
Parameterized SQL reports
Exporting reports to Excel or PDF
Report templates with global parameters

Multiple reports

Drilldown versus drillthrough

Jump reports
Linked reports

Reporting Services Configuration Manager

Report caching
Report snapshots
Report subscriptions (emailing reports)
Security overview

Power BI OVerVIEW (optional DEMO)

Power BI Service
Visualizing Data
Power BI Mobile
Power BI Desktop
Transforming Data
Refining the Model

(see Power BI course for intensive training in Power BI)

SQL Server 2014 Analysis Services


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


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

SQL Server 2014 Integration Services


Integration services (SSIS)
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


Deploying packages
Executing packages with dtexec and stored procedures
Scheduling packages with SQL Server Agent
Configuring packages
Logging packages


  1. Manually design reports in SSRS
  2. Getting the most out of the automated wizard.
  3. Power BI vs SSRS
  4. Power BI for data visualizaton
  5. Power BI Desktop, Mobile & Cloud
  6. Dashboards
  7. Data warehouses fundamentals
  8. Data warehouses and OLAP.
  9. How to build star schemas in SSAS
  10. Multidimensional cubes in Analysis Services.
  11. Use of Integration Services to transform data into star schemas and cubes.

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18th Feb 2019 - 5 days £1995

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