Dashboard in an Hour Using Power BI Farouq Abukhamireh -Business Intelligence Architect Dashboard in an Hour Using Power BI

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Power BI Overview

Agenda What is Power BI Power BI components Architecture Licensing

What is Power BI A tool to turn data into interactive visuals.

Power BI components Connect Prepare Visualize Model In Memory data model: xvelocity engine In memory Data compression (up to x10) Layer of abstraction Performance Measures. Hierarchies Row level security Visualization. Charts, filters, tables, maps Reports Dashboards. Power BI desktop FREE Connect to data Clean and manipulate data using power query Model the data Visualize the data Share the data.

On-Premises Databases Power BI 2.0 Architecture Other Cloud Sources Web Sources Dashboards Reports Datasets [Premium Capacity] End Users Mobile Apps Power BI Gateway On-Premises Files Web Browser SSAS On-Premises Databases Power BI Desktop

Licensing Power BI Free FREE Connect to 70+ data sources Publish to Web Export to PowerPoint, Excel, CSV Power BI Desktop Connect to data sources Clean and prepare data Analyze and build reports with custom visualizations Publish to the Power BI service Power BI Pro $9.99 Per month per user Build dashboards that deliver a 360-degree, real-time view of the business Keep data up-to-date automatically, including on-premises sources Collaborate on shared data Audit and govern how data is accessed and used Package content and distribute to users with apps Power BI Premium Capacity pricing per node per month Gain dedicated capacity you allocate, scale, and control Distribute and embed content without purchasing per-user licenses Publish reports on-premises with Power BI Report Server Unlock more capacity and higher limits for your Pro users Power BI Report Server On-premises Power BI. The flexibility to move to the cloud. included with Power BI Premium

Power BI Best Practices

Agenda Goals Loading Best Practices Modeling Best Practices Reporting Best Practices

Goals Deliver Effective Visuals. Improve Performance Reduce size of Data Set. Shorten Processing time.

3 Distinct Areas of Work inside Power BI Loading data using Power Query Connect to data Prepare data for reporting Modeling Relationships between Queries (tables Measures Hierarchies Calculated Tables Calculated Columns Create Roles Reporting Create reports and Visuals

Data Loading Best Practices Load only the data you need – not more Tables Columns Rows SQL Server Sources: Import connectivity mode is preferred over Direct Query SSAS sources: Connect Live is preferred over import

Modeling Best Practices Hide columns that are not needed by end user – improve usability Create measures Create hierarchies Use calculated tables DAX (Role playing dimension tables) Avoid DAX Calculated columns - Improve Processing time Avoid using processor heavy DAX functions in measures like FILTER - Query Performance. Rename objects and give them business friendly names Tables Columns Measures Hierarchies.

Reporting Best Practices Display high level data first. Allow Drill down. Allow drill through for more details. Minimize the use of filters. Make reports visually appealing. Avoid using pie charts. Horizontal bar charts are favorite. Use visuals and not numbers. Use dashboard theming, Logos Use meaningful Report/dashboard titles.

Demo

Connect to data Clean and Prepare Data Model The data Create Visuals – reports Publish to Power BI