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Microsoft DP-700T00 - Microsoft Fabric Data Engineer

  • Length 4 days
  • Price  NZD 3250 exc GST
Course overview
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Why study this course

This four-day 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 DP-203: Azure Data Engineer certification.

Please note: This course is due to be released by Microsoft on January 17, 2025.

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What you’ll learn

After completing this course, students will be able to:

  • Implement and manage an analytics solution

  • Ingest and transform data

  • Monitor and optimise an analytics solution


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Microsoft Azure at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.


Who is the course for?

This course is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics.


Course subjects

Ingest data with Microsoft Fabric

  • Ingest Data with Dataflows Gen2 in Microsoft Fabric

  • Orchestrate processes and data movement with Microsoft Fabric

  • Get started with Real-Time Intelligence in Microsoft Fabric

  • Use real-time eventstreams in Microsoft Fabric

  • Work with real-time data in a Microsoft Fabric eventhouse

Implement a Lakehouse with Microsoft Fabric

  • Introduction to end-to-end analytics using Microsoft Fabric

  • Get started with lakehouses in Microsoft Fabric

  • Use Apache Spark in Microsoft Fabric

  • Work with Delta Lake tables in Microsoft Fabric

  • Ingest Data with Dataflows Gen2 in Microsoft Fabric

  • Orchestrate processes and data movement with Microsoft Fabric

  • Organise a Fabric lakehouse using medallion architecture design

Implement Real-Time Intelligence with Microsoft Fabric

  • Get started with Real-Time Intelligence in Microsoft Fabric

  • Use real-time eventstreams in Microsoft Fabric

  • Work with real-time data in a Microsoft Fabric eventhouse

  • Create Real-Time Dashboards with Microsoft Fabric

Implement a data warehouse with Microsoft Fabric

  • Get started with data warehouses in Microsoft Fabric

  • Load data into a Microsoft Fabric data warehouse

  • Query a data warehouse in Microsoft Fabric

  • Monitor a Microsoft Fabric data warehouse

  • Secure a Microsoft Fabric data warehouse

Manage a Microsoft Fabric environment

  • Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric

  • Monitor activities in Microsoft Fabric

  • Secure data access in Microsoft Fabric

  • Administer a Microsoft Fabric environment


Prerequisites

The audience for this course is data professionals with experience in:

  • Data extraction

  • Transformation

  • Loading

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).


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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