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.
Designing reports – further techniques
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
Charts and gauges
Parameterized SQL reports
Exporting reports to Excel or PDF
Report templates with global parameters
Report subscriptions (emailing reports)
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
SSRS reports on multidimensional and tabular cubes
Excel pivot tables
PowerPivot and DAX
Backing up and restoring star schemas
Backing up and restoring cubes
Integration services (SSIS)
Control Flow toolbox overview
Data Flow toolbox (ETL) overview
Execute SQL Task
Send Mail Task
WMI Event Watcher Task
Foreach Loop Container
Sources, destinations, and transformations
Conditional Split transformation
Derived Column transformation
Lookup transformation (with caching, Sort and Merge transformations)
Fuzzy Grouping transformation
Executing packages with dtexec and stored procedures
Scheduling packages with SQL Server Agent
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...
10/12/2018: Natural Language Processing is right at the cutting-edge of Artificial Intelligence, and the handling of data is critical to its success. Computers,...
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