DP-603 Implementing Real-Time Analytics with Microsoft Fabric
Sensors, applications, and platforms deliver data around the clock. Those who analyze it in time can respond with confidence – rather than relying on outdated reports. Real-time analytics makes information usable the moment it is generated.
Key topics
- Designing and productively deploying streaming workloads.
- Efficiently processing and managing large data volumes.
- Delivering analyses and dashboards in real time.
- Building scalable cloud architectures for analytics.
- Ensuring governance, data quality, and performance.
Prerequisite
Those with a basic understanding of cloud concepts and data processing can dive right in.
Target group
Professionals working in data-driven environments who want to strengthen their ability to respond quickly through real-time analytics.
Evaluating data streams at the point of origin creates the basis for fast, reliable, and future-proof decisions.
- Building real-time analytics with Synapse Real-Time Analytics
- Understanding the structure of KQL databases
- Writing and evaluating KQL queries
- Getting to know the key components of Eventstream
- Configuring and customizing Eventstreams
- Transmitting and processing Eventstream data
- Taking first steps with KQL queries
- Applying best practices for KQL queries
- Using advanced KQL features
- Data is generated by the second – those who evaluate it too late fall behind. Instant analytics enable decisions before opportunities pass.
- Slow reports, limited visibility, and missed opportunities give way to live data that enables immediate action.
- Streaming concepts, event processing, and scalable architectures are the in-demand skills for modern data operations.
- Data engineers, analysts, and IT teams who want to actively analyze data in real time rather than just store it stand to gain the most.
- Real-world scenarios take center stage: managing data streams, improving pipelines, and deploying dashboards live.
- Shorter decision cycles, sharper forecasts, and immediate responses to market shifts strengthen competitive positioning.
- Delayed evaluations lead to poor decisions, inefficient workflows, and missed business opportunities.
- As an integrated platform, Fabric brings together ingestion, analysis, and visualization – measurably reducing complexity.