DP-603 Implementing Real-Time Analytics with Microsoft Fabric
Price Net € VAT €
Price Price on Request
Duration
1 day
Location
Course Language English
Training Solutions Online Live
Business processes, sensors, and digital services continuously generate data. Professional handling of these streams requires technologies that enable real-time analysis. The focus is on modern concepts that make data immediately usable.
Key topics
- Setting up streaming workloads.
- Processing high volumes of data.
- Real-time analysis and visualization.
- Scalable cloud architectures.
- Quality, governance, and performance.
Prerequisite
Basic knowledge of cloud services and data processing.
Target audience
Analytics specialists, data engineers, technical decision-makers with a focus on data.
Quick insights replace static reports. Real-time analytics supports agile decisions and forms a solid foundation for data-driven innovation.
Print as PDF
Course content
Real-time analytics in Microsoft Fabric
- Real-time data analysis with Synapse
- Structure of KQL data and tables
- Creating queries with KQL
Real-time event streams in Microsoft Fabric
- Essential components of Eventstream
- Configuration of Eventstream
- Transmission of Eventstream data
KQL database in Microsoft Fabric
- Getting Started with KQL Queries
- KQL best practices
- Advanced features
Why is real-time analytics with Microsoft Fabric so important?
- Data is generated in seconds—if you react too late, you lose. Real-time analytics enable immediate decisions instead of delayed analyses.
Specifically, what problems does real-time analytics solve?
- Delayed reports, missed opportunities, and a lack of transparency are replaced by real-time data, immediate insights, and faster responses.
What skills are required for modern data platforms?
- Streaming, event processing, and scalable architectures are in demand—exactly the skills that matter in a real-world setting.
Who would particularly benefit from adopting Microsoft Fabric?
- Relevant for data engineers, analysts, and IT teams who want to do more than just store data—they want to actively use it in real time.
How practical is the course content?
- Focus on real-world scenarios: Process data streams, optimize pipelines, and efficiently deploy real-time dashboards.
What are the benefits of real-time analytics in day-to-day business operations?
- Faster decisions, better forecasts, and immediate responses to market changes create clear competitive advantages.
What risks arise without real-time data processing?
- Slow analyses lead to poor decisions, inefficient processes, and missed business opportunities.
How does Microsoft Fabric support modern data strategies?
- A central platform combines data integration, analysis, and visualization—significantly reducing complexity and boosting efficiency.
