Implementing Real Time Analytics with Microsoft Fabric (DP-604)
This course focuses on designing and deploying real-time analytics solutions using Microsoft Fabric. Learn how to ingest, process, and analyze live data streams, build scalable analytics pipelines, and create interactive dashboards for real-time decision-making. Gain hands-on experience in managing real-time data and optimizing performance to support dynamic business needs.
This course focuses on designing and deploying real-time analytics solutions using Microsoft Fabric. Learn how to ingest, process, and analyze live data streams, build scalable analytics pipelines, and create interactive dashboards for real-time decision-making. Gain hands-on experience in managing real-time data and optimizing performance to support dynamic business needs.
More Information:
- Learning Style: Virtual
- Provider: Microsoft
- Difficulty: Beginner
- Course Duration: 1 Day
- Course Info: Download PDF
- Certificate: See Sample
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Course Information
About This Course :
This course provides a comprehensive guide to designing, implementing, and managing real-time analytics solutions using Microsoft Fabric. It is aimed at professionals who want to learn how to process and analyze live data streams, enabling businesses to derive actionable insights in real time.
Course Objectives:
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Design and implement real-time analytics pipelines using Microsoft Fabric.
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Ingest, process, and analyze live data streams from various sources.
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Build scalable and efficient solutions for real-time data processing.
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Develop interactive dashboards and visualizations to monitor live data.
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Optimize the performance of real-time data analytics systems.
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Apply best practices for data quality, security, and governance in real-time environments.
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Implement event-driven architectures for real-time decision-making.
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Troubleshoot and resolve challenges related to streaming data analytics.
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Ensure compliance with industry standards and regulations for real-time data.
Audience:
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Data Engineers: Focused on building and optimizing real-time data processing pipelines.
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Business Intelligence (BI) Professionals: Looking to create interactive dashboards and real-time reporting systems.
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Data Analysts: Interested in extracting actionable insights from live data streams.
Prerequisites:
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You should be familiar with basic data concepts and terminology.