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DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric

Last Updated: 04-02-2025

The DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric course is designed for professionals looking to develop expertise in building and managing scalable data engineering solutions using Microsoft Fabric. Microsoft Fabric is an advanced data platform that unifies data engineering, data science, and analytics into one seamless environment. This course will teach you how to build data pipelines, work with large datasets, and integrate real-time data processing within Microsoft Fabric. You will gain hands-on experience with data ingestion, transformation, orchestration, and storage, while learning best practices for optimizing data workflows and ensuring efficient data management. This course is ideal for individuals who want to implement data engineering solutions at scale, leveraging Microsoft Fabric and Azure services to build end-to-end data platforms.

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Course Prerequisites

  • Basic understanding of data engineering concepts such as data ingestion, data storage, and data processing.
  • Familiarity with SQL and Python for data manipulation and transformation.
  • Basic knowledge of cloud computing concepts, especially in the Azure environment.
  • Understanding of big data technologies like Apache Spark or Hadoop is beneficial but not required.
  • Familiarity with Azure services such as Azure Data Lake, Azure Synapse, and Power BI will be helpful but not mandatory.

Learning Objectives

By the end of the DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric course, you will be able to:

  1. Understand the architecture and features of Microsoft Fabric and how it integrates with Azure services.
  2. Set up and configure a Microsoft Fabric workspace and integrate it with Azure Data Lake and Azure Synapse Analytics.
  3. Implement data ingestion pipelines, using various methods to process both structured and unstructured data.
  4. Leverage Microsoft Fabric to perform data transformations and data wrangling using Spark and SQL-based processing.
  5. Design and implement data orchestration workflows using Microsoft Fabric to manage data movement and dependencies.
  6. Work with big data processing techniques, including real-time data ingestion, batch processing, and streaming data.
  7. Optimize data storage using Delta Lake and improve data performance and scalability within Microsoft Fabric.
  8. Implement data security and data governance best practices, ensuring compliance with regulatory standards and protecting sensitive data.
  9. Use Power BI and other Microsoft Fabric components to build advanced data analytics solutions and visualizations.
  10. Prepare for the DP-700 certification exam and gain practical skills in developing end-to-end data engineering solutions using Microsoft Fabric.

Target Audience

This course is ideal for:

  • Data engineers who want to master Microsoft Fabric for building and deploying data engineering solutions in the cloud.
  • Cloud professionals interested in learning how to implement data pipelines and workflows using Microsoft Fabric.
  • Data architects and data engineers who want to optimize data orchestration and work with real-time data processing.
  • Professionals looking to improve their skills in data storage, data management, and big data solutions using Microsoft Azure and Microsoft Fabric.
  • Individuals preparing for the DP-700 certification exam and those who want to become proficient in data engineering within the Microsoft Fabric ecosystem.

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