Scheduled Refresh and Data Gateway Configuration

Lesson 33/44 | Study Time: 20 Min

Course: Power BI for Business Intelligence Professionals

Scheduled refresh and data gateway configuration are essential components in Power BI that ensure reports and dashboards always display current, accurate data.

Scheduled refresh automates the process of updating datasets in the Power BI Service by pulling the latest data from connected sources at defined intervals.

Data gateways act as secure bridges between on-premises data sources and the cloud, enabling refresh operations without exposing internal networks to direct internet access.

Proper configuration of both scheduled refresh and gateways is critical for maintaining data currency, reliability, and security in enterprise BI solutions.

Power BI supports various refresh schedules ranging from daily to multiple times per day for Pro and Premium capacities, allowing organizations to tailor refresh frequency based on business needs.

Configuring gateways involves installing and managing the on-premises data gateway software, which facilitates encrypted data transfer between Power BI Service and on-premises databases, files, or web services.

Gateway management includes setting up clusters, monitoring refresh queue and failures, and managing user access.

Scheduled Refresh in Power BI

The purpose is to automate the updating of datasets in Power BI Service from data sources.

Refresh Frequency:

1. Pro users: Up to eight refreshes per day.

2. Premium users: Up to 48 refreshes per day with Premium capacity.

Data Sources Supported:

1. Cloud services (e.g., Azure SQL Database, SharePoint).

2. On-premises sources via data gateways (e.g., SQL Server, Oracle, SAP).

Configuring Refresh:

1. Set refresh schedule and time zones in dataset settings.

2. Specify credentials (OAuth, Windows, Basic) securely for authentication.

3. Define refresh failure notifications to alert admins.

On-Premises Data Gateway

The role is to securely connect Power BI Service with on-premise data repositories.

Types:

1. Personal Mode: Intended for single users; only supports refresh and limited data source types.

2. Standard Mode: Supports multiple users, wider data source options, and high availability gateway clusters.

Installation and Setup:

1. Install gateway software on a dedicated on-premises server or VM.

2. Register the gateway to the Power BI tenant using an organizational account.

3. Configure sources and authentication within Power BI Service gateway management.

Gateway Management:

1. Monitor gateway status and refresh history in Power BI Admin Portal.

2. Manage user permissions for who can use the gateway.

3. Scale with gateway clusters for load balancing and high availability.

Best Practices

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Ryan Cole

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Class Sessions

1- Overview of Business Intelligence Concepts 2- Power BI Ecosystem and Components 3- Understanding Power BI Desktop, Service, and Mobile App 4- Data-Driven Decision Making Fundamentals 5- Connecting to Data Sources (SQL, Excel, Cloud, APIs) 6- Data Import vs Direct Query 7- Power Query Editor Basics and Advanced Transformations 8- Data Cleaning, Shaping, and Formatting 9- Creating Query Parameters and Templates 10- Principles of Data Modeling in Power BI 11- Star Schema and Snowflake Schema Concepts 12- Creating and Managing Relationships Between Tables 13- Calculated Columns vs Measures 14- Role of Lookup and Fact Tables in BI 15- DAX Fundamentals and Syntax 16- Calculated Columns and Measures in Depth 17- Aggregation and Filter Functions 18- Time Intelligence Calculations (YTD, MTD, QTD, etc.) 19- Context in DAX: Row Context and Filter Context 20- Using Variables and Advanced Calculation Techniques 21- Dynamic Calculations and What-If Analysis 22- Hierarchies and Drill-Down Techniques 23- Working with Parent-Child and Many-to-Many Relationships 24- Optimizing DAX for Performance 25- Principles of Effective Data Visualization 26- Creating Interactive Reports and Dashboards 27- Choosing the Right Visuals (Charts, KPIs, Maps, Tables) 28- Using Bookmarks, Tooltips, and Drillthroughs 29- Applying Conditional Formatting and Visual Level Filters 30- Publishing Reports to Power BI Service 31- Workspaces and Apps in Power BI 32- Sharing and Collaborating Securely with Row-Level Security (RLS) 33- Scheduled Refresh and Data Gateway Configuration 34- Usage Metrics and Report Usage Monitoring 35- Real-Time Data Streaming and Dashboards 36- Integration with Azure Synapse and Cognitive Services 37- AI Features in Power BI: Insights, Q&A, and Anomaly Detection 38- Using Power Automate with Power BI for Workflow Automation 39- Implementing Predictive Analytics and Forecasting 40- Best Practices for Data Model Optimization 41- Query Reduction and Load Optimization Techniques 42- Troubleshooting Common Power BI Issues 43- Monitoring Performance with Performance Analyzer 44- Governance and Compliance Considerations in Power BI

Scheduled Refresh and Data Gateway Configuration

Ryan Cole

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