What
You’ll Learn
You’ll Learn
- How to use Microsoft Fabric for data engineering tasks.
- How to design and manage data pipelines.
- How to optimize data processing and ensure data quality.
- How to integrate Spark
- Power BI
- and real-time analytics.
- Best practices for data governance and compliance.
Requirements
- Basic understanding of data engineering concepts.
- Familiarity with cloud computing and databases.
Description
Microsoft DP-700 Implementing Data Engineering Using Microsoft Fabric is a practical and easy-to-understand course designed to help you prepare for the DP-700 certification exam. If you’re looking to learn how to implement data engineering solutions using Microsoft Fabric, this course is the perfect fit for you.
In this course, you’ll find practice exams that closely mirror the real exam experience. Each question is accompanied by clear explanations, ensuring you understand why certain answers are correct and others are not. This will help you gain a solid understanding of the essential topics you need to know.
Main Topics Covered in this Course:
-
Data Ingestion and Integration with Microsoft Fabric
-
Designing and Implementing Data Storage Solutions
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Building and Managing Secure Data Pipelines
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Optimizing Data Processing Performance
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Ensuring Data Quality and Consistency
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Data Transformation and Analysis with Microsoft Fabric
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Real-time Analytics and Data Aggregation
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Implementing Data Governance and Compliance
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Utilizing Power BI for Data Reporting and Visualization
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Effective Troubleshooting and Monitoring of Data Pipelines
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Advanced Data Engineering with Spark and PySpark Integration
Whether you’re just starting or looking to enhance your skills, this course is perfect for anyone working with data engineering. By the end of the course, you’ll feel confident and well-prepared to take the DP-700 exam and advance in your data engineering career.
Who this course is for:
- Aspiring data engineers.
- IT professionals preparing for the DP-700 certification.
- Anyone interested in learning Microsoft Fabric for data engineering.
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Infos:
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