"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
Reporting Services
Report Server
Report Designer
Report Builder
Report Manager
Designing reports – further techniques
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
Subreports
Jump reports
Linked reports
Administration
Report caching
Report snapshots
Report subscriptions (emailing reports)
Security overview
Power BI Service
Visualizing Data
Power BI Mobile
Power BI Desktop
Transforming Data
Refining the Model
Calculations
(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
Attribute hierarchies
User hierarchies and drill-down
Attribute relationships
Key collections
Parent-child dimensions
Calculations and named sets (using MDX expressions)
KPIs (using MDX)
Actions (drill-through and reporting)
Partitions and aggregation design
Perspectives
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
Security
Integration services (SSIS)
Workflow
Control Flow toolbox overview
Data Flow toolbox (ETL) overview
Package variables
Script Task
Execute SQL Task
Send Mail Task
WMI Event Watcher Task
Sequence Container
Foreach Loop Container
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
Security
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.
"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
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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.
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