DP-700T00: Data Engineering with Microsoft Fabric

Available Dates
11 May 2026
08 Jun 2026
06 Jul 2026
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The DP-700T00: Implement Data Engineering Solutions Using Microsoft Fabric course provides comprehensive training on building data engineering solutions with Microsoft Fabric. This 4-day instructor-led course covers Lakehouses, data pipelines, dataflows, Apache Spark, and real-time analytics for end-to-end data platform implementation. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers.

  • Certification Path: prepares for the Fabric Data Engineer Associate certification
  • Lakehouse Architecture: designing and implementing medallion architectures with Delta Lake tables
  • Data Pipelines: building orchestration pipelines for data ingestion, transformation, and loading
  • Apache Spark: developing Spark notebooks for large-scale data processing and transformations
  • Real-Time Analytics: implementing streaming ingestion and real-time data processing in Fabric

Course Overview: DP-700T00 Data Engineering with Microsoft Fabric

Microsoft Fabric is an end-to-end analytics platform that unifies data engineering, data science, real-time analytics, and business intelligence in a single SaaS experience. The DP-700T00 course provides comprehensive hands-on experience building Lakehouse architectures, creating data pipelines and dataflows, developing Spark-based transformations, implementing real-time analytics, and managing the complete data engineering lifecycle within the Fabric platform.

Learning Objectives

  1. Design and implement Lakehouse architectures — create Lakehouses with medallion patterns, Delta Lake tables, and optimized storage for analytical workloads
  2. Build data ingestion and orchestration pipelines — develop pipelines using Data Factory, dataflows Gen2, and copy activities for automated data movement
  3. Develop Spark-based data transformations — write PySpark and Spark SQL notebooks for large-scale data cleansing, enrichment, and aggregation
  4. Implement real-time analytics solutions — configure Eventstream, KQL databases, and real-time dashboards for streaming data scenarios

Who Should Attend

This course is designed for data engineers, ETL developers, and analytics engineers who want to build comprehensive data engineering solutions using the Microsoft Fabric platform.

Career Benefits

Microsoft Fabric represents the future of unified data platforms. The DP-700T00 course prepares professionals for the Fabric Data Engineer certification — a credential that validates expertise in building modern data solutions, in high demand for data engineers, analytics engineers, and data platform architects.

Prerequisites

  • Experience with data engineering concepts and ETL processes
  • Proficiency in SQL and basic Python or PySpark
  • Familiarity with cloud data platform concepts
  • Understanding of data warehouse and data lake architectures
  • Basic knowledge of Power BI or similar reporting tools

Frequently Asked Questions

What certification does DP-700T00 prepare for?

The DP-700T00 course prepares for the Microsoft Certified: Fabric Data Engineer Associate certification exam (DP-700). This certification validates the ability to implement data engineering solutions using Microsoft Fabric.

What is Microsoft Fabric?

Microsoft Fabric is a unified SaaS analytics platform that integrates data engineering, data warehousing, real-time analytics, data science, and business intelligence. It provides a single platform experience with OneLake as the unified data storage layer.

How long is the DP-700T00 course?

The DP-700T00 is a 4-day instructor-led course (32 hours) covering comprehensive data engineering topics in Microsoft Fabric, with extensive hands-on labs throughout.

Does the DP-700 certification expire?

Microsoft role-based certifications are valid for one year and can be renewed for free through a Microsoft Learn renewal assessment before expiration.

Course

DP-700T00

Duration

32
hours

Price

1497
,00 + VAT

Location

Remote

Release Date

30 Jan 2026

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