Seamless data access is critical for smoother business operations. With more organizations embracing Microsoft cloud services, they can unlock new insights and accelerate business growth.
Microsoft Power BI optimizes data usage. Microsoft Power BI is a business intelligence platform that provides tools to analyze, visualize, and share data. The purpose is to discover insights from business data.
There will be many data sources that are associated with organizations. For example, CRM systems, databases, customer touchpoints, and more. Power BI seamlessly connects with multiple data sources. The tools within BI clean, transform, and analyze data for actionable insights.
For Microsoft Power BI users, connecting on-premises data opens the door to new opportunities through enhanced insights. By integrating on-premises data with Power BI, you can uncover insights more powerfully than ever before.
What enables the transfer between on-premises data and Microsoft Power BI possible?
On-premises data gateway is a secure gateway that acts as a platform for quick and secure transfer between on-premises data sources and Microsoft Power BI. In addition to facilitating secure data transfer, it enables scheduled data refreshes, real-time data updates and supports various data sources like SQL Server, Oracle, and SharePoint.
By connecting on-premises data to Power BI, the gateway ensures seamless connectivity for analytics and business intelligence. The integration allows effective use of on-premises data in cloud services such as Power BI.
Find the latest updates on the on-premises data gateway for Microsoft Power BI users
Microsoft has introduced some new features for the on-premises data gateway to make the analytics more powerful with Microsoft Power BI.
Fabric Pipeline Integration is now generally available
Support for the Fabric Data Pipeline in the on-premises data gateway is now generally available. This enables on-premises data gateway to carry out high-scale data ingestion and transformation tasks of your on-premises data into Microsoft Fabric. The new feature release will enhance user experience while providing more benefits.
With the general availability of the Fabric Data Pipeline, you gain access to various additional features.
Multi-node cluster support
The Fabric Data Pipeline supports multi-node clusters. When your data processing needs grow, you can add more nodes to the cluster, thus expanding the infrastructure. This helps you distribute the data processing load to different nodes which helps you improve performance and efficiency. With this support, you can manage larger data volumes with faster processing speeds.
Diagnostic logs
The inclusion of diagnostic logs is another key feature. You can now track your data pipeline and activities in detail. The diagnostic logs provide insights that help streamline data processing performance, troubleshoot, and resolve issues. Additionally, these insights ensure that operations run smoothly.
Unified Data Analytics experience
The On-Premises Data Gateway now makes your data analytics and integration needs a unified experience. This means that you can handle Power BI reports, create workflows that coordinate the processing of data, and set up pipeline from a single platform. The merging of data analytics and integration into a centralized platform allows for a streamlined workflow.
SQL Server certificate
When the on-premises gateway or Power BI connects to SQL Servers, a security warning might be issued with this new release or later. The issue occurs when trying to establish a connection between the on-premises data gateway and SQL Server using an invalid SSL certificate. To fix this error, users need to update the SqlTrustedServers setting.
Unlock enhanced analytics and business intelligence capabilities
You can uncover more actionable insights through the integration of your on-premises data to cloud-based Power BI. Connecting your on-premises data to Microsoft Power BI enables organizations to:
- Gain comprehensive insights
- Improves informed decision making
- Enhance data management
- Handle large volumes of data
- Scale analytics workload
- Share insights across teams, departments, and locations
The On-Premises Data Gateway establishes a secure connection between your on-premises data sources, such as SQL Server, Oracle, and SharePoint, with Power BI. It enables the integration of on-premises data with cloud-based analytics, empowering business intelligence and facilitating quick decision-making.
To fully leverage the latest Power BI enhancements, you can connect with leading Microsoft Power BI consultants. LITS SERVICES, a leading Microsoft Gold Partner, offers expertise in consultation and integration of Microsoft Power BI solutions for organizations across various industries.
To learn about the various components of the Power BI ecosystem, such as Power BI Desktop, Power BI Mobile Apps, Power BI Services, and Power BI Report Server, consult with our Power BI consultants.
FAQs:
What enables the transfer of data between on-premises sources and Microsoft Power BI?
The On-premises Data Gateway, a secure gateway, facilitates the transfer of data between on-premises sources (e.g., SQL Server, Oracle, SharePoint) and Microsoft Power BI.
What is Fabric Pipeline Integration in the On-premises Data Gateway?
Fabric Pipeline Integration is a Power BI enhancement that enables high-scale data ingestion and transformation tasks for on-premises data into Microsoft Fabric. It supports multi-node clusters, diagnostic logs, and provides a unified data analytics experience.
Why do users get a security warning when connecting to SQL Server using the On-premises Data Gateway?
The security warning occurs due to an invalid SSL certificate. To resolve this, update the SqlTrustedServers setting.
What benefits does integrating on-premises data with Microsoft Power BI provide?
Integrating on-premises data with Power BI enables organizations to gain comprehensive insights, improve informed decision-making, enhance data management, handle large data volumes, scale analytics workloads, and share insights across teams, departments, and locations.