Our Microsoft Business Intelligence (BI) 2016 training course is built around data modelling with SQL Server Reporting Services and cloud/desktop Power BI and then we cover data warehousing and cube design with SQL Server Analysis Services
The Business Intelligence 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) and visualisation tools such as Power BI – 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.
This course is aimed at data developers and those who need to load, import, transform, build and maintain data models, as well as build interactive reports which empower businesses and colleagues to harness the growing amount of data being produced by the business systems and Internet of Things (IoT). Some basic SQL skills would be an advantage.
Designing reports – fundamentals
Report Wizard in SSDT-BI (aka BIDS/Visual Studio)
SQL relational reports
Tablixes (tables and matrixes)
Deploying reports to Report Manager
Formatting (including dates and currency)
Conditional formatting (and green-band reporting)
Grouping and drilldown
Grand totals, subtotals, and running totals
Charts and gauges
Parameterized SQL reports
Drilldown versus drillthrough
Reporting Services Configuration Manager
Power BI Service
Power BI Mobile
Power BI Desktop
Refining the Model
(see Power BI course for intensive training in Power BI)
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
User hierarchies and drill-down
Calculations and named sets (using MDX expressions)
KPIs (using MDX)
Actions (drill-through and reporting)
Partitions and aggregation design
Building a data warehouse using Multidimensional Model
Buidling a data warehouse using Tabular Data Model
SSRS reports on multidimensional and tabular cubes
Integration services (SSIS)
Control Flow toolbox overview
Data Flow toolbox (ETL) overview
Execute SQL Task
Send Mail Task
Foreach Loop Container
See why people choose JBI
09/01/2018: With the modern expectation for all data to be presented to use in a bright, interactive and engaging format, many businesses are opting for...
08/01/2018: BI is the combination of collecting data, analysing it, and reporting it in a way that is simple to understand. Businesses that make use of BI...
08/01/2018: Microsoft’s Power BI is an analytics tool used to analyse data and share insights. The distinguishing feature of Power BI are the dashboards,...
16/01/2018: Data Analysts at a Government establishment required the ability to respond rapidly to ad-hoc requests for information, including parliamentary...
18/12/2017: The Client A leading developer and manufacturer of sophisticated industrial products, abatement solutions and related value-added services. Their...
16/11/2018: Data Analytics – the process of analysing data sets – enables organisations to make better-informed decisions. It’s a key focus in many businesses...
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