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• DP-700: Course Overview

  This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

  This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric:

  • Ingest, transform, and analyse streaming data with Microsoft Fabric.
  • Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.
  • Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.

• DP-700: Course Modules

  Module 1: Ingest data with Microsoft Fabric

  Module 2: Implement a Lakehouse with Microsoft Fabric

  Module 3: Implement Real-Time Intelligence with Microsoft Fabric

  Module 4: Manage a Microsoft Fabric environment

• DP-700: Course Objectives

  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.

• DP-700: Prerequisites

  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 enterprise-scale data analytics. 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).

  Prerequisites include:

  • Familiarity with Microsoft Fabric
  • You should be familiar with basic data concepts and terminology.
  • The student should be familiar with Microsoft Fabric and SQL, basic knowledge of KQL is helpful.
  • Before starting this learning path, you should have experience with Microsoft Fabric or Power BI. You should also have a basic understanding of data engineering and management concepts.