Type
Virtual
Classroom ILT
Skill Level

Available dates
Learning Path
Virtual
Duration
1 Day

TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL

DURATION
AVAILABLE DATES
Introduction
This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP203: Azure Data Engineer certification.
Audience Profile
This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprisescale data analytics.
Pre-Requisite
Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL
Course objectives
- After completing this course, students will be able to:
- Ingesting and Transforming Data: Students will learn how to implement efficient data loading patterns using various data ingestion and transformation techniques
- Securing and Managing Data Engineering Solutions: The course covers best practices for securing data, managing data storage, and handling data privacy
- Monitoring and Optimizing Analytics Solutions: You will gain skills in monitoring data engineering solutions and optimizing them for performance
Course content
Module 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric | |
Data ingestion is crucial in analytics. Microsoft Fabric’s Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online. | |
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After completing this module, students will be able to | |
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Module 2: Orchestrate processes and data movement with Microsoft Fabric | |
Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks. | |
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After completing this module, students will be able to: | |
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Module 3: Get started with RealTime Intelligence in Microsoft Fabric | |
Analysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Intelligence capabilities of Microsoft Fabric to ingest, query, and process streams of data. | |
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After completing this module, students will be able to: | |
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Module 4: Use real-time eventstreams in Microsoft Fabric | |
Microsoft Fabric Eventstreams within Real-Time Intelligence (RTI) enable you to ingest and transform real-time data. | |
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After completing this module, students will be able to: | |
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Module 5: Work with real-time data in a Microsoft Fabric eventhouse | |
An eventhouse in Microsoft Fabric provides a scalable and flexible store for real-time data. | |
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After completing this module, students will be able to: | |
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Module 6: Introduction to end-toend analytics using Microsoft Fabric | |
Discover how Microsoft Fabric can meet your enterprise’s analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs. | |
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After completing this module, students will be able to: | |
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Module 7: Get started with lakehouses in Microsoft Fabric | |
Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform. | |
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After completing this module, students will be able to: | |
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Module 8: Use Apache Spark in Microsoft Fabric | |
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale. | |
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After completing this module, students will be able to: | |
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Module 9: Work with Delta Lake tables in Microsoft Fabric | |
Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions. | |
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After completing this module, students will be able to: | |
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Module 10: Organize a Fabric lakehouse using medallion architecture design | |
Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across bronze, silver, and gold layers of a lakehouse for optimized analytics. | |
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After completing this module, students will be able to: | |
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Module 11: Create Real-Time Dashboards with Microsoft Fabric | |
Real-time Dashboard is a RealTime Intelligence capability in Microsoft Fabric that you can use to create real-time data visualizations. | |
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After completing this module, students will be able to: | |
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Module 12: Get started with data warehouses in Microsoft Fabric | |
Data warehouses are analytical stores built on a relational schema to support SQL queries. Microsoft Fabric enables you to create a relational data warehouse in your workspace and integrate it easily with other elements of your end-toend analytics solution. | |
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§ Summary |
After completing this module, students will be able to: | |
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Module 13: Load data into a Microsoft Fabric data warehouse | |
Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis. | |
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After completing this module, students will be able to: | |
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Module 14: Query a data warehouse in Microsoft Fabric | |
Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis. | |
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After completing this module, students will be able to: | |
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Module 15: Monitor a Microsoft Fabric data warehouse | |
Data warehouse in Microsoft Fabricis a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis. | |
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After completing this module, students will be able to: | |
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Module 16: Secure a Microsoft Fabric data warehouse | |
Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis. | |
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After completing this module, students will be able to: | |
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Module 17: Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric | |
Microsoft Fabric implements CI/CD using Git integration and deployment pipelines. These tools help you collaborate with your development team and provide you with an efficient process for delivering and updating content. | |
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After completing this module, students will be able to: | |
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Module 18: Monitor activities in Microsoft Fabric | |
Monitoring helps you gain visibility into the health of your data systems. Monitoring Hub in Microsoft Fabric collects and aggregates data from Fabric activities. Microsoft Fabric Activator helps you take actions when patterns or conditions are detected in streaming data. | |
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After completing this module, students will be able to: | |
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Module 19: Secure data access in Microsoft Fabric | |
Microsoft Fabric uses a multi-layer security model with access controls at different levels. | |
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After completing this module, students will be able to: | |
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Module 20: Administer a Microsoft Fabric environment | |
Microsoft Fabric is a SaaS solution for end-to-end data analytics. As an administrator, you can configure features and manage access to suit your organization’s needs. | |
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After completing this module, students will be able to: | |
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Associated certifications and exam
There is no Associated certification & Exam for this course.

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