Microsoft Fabric Data Engineer (DP-700T00)

 

Course Overview

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 DP-203: Azure Data Engineer certification.

Who should attend

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

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.

Specifically completing:

Course Objectives

  • Explore compute and storage options for data engineering workloads in Azure
  • Design and Implement the serving layer
  • Understand data engineering considerations
  • Run interactive queries using serverless SQL pools
  • Explore, transform, and load data into the Data Warehouse using Apache Spark
  • Perform data Exploration and Transformation in Azure Databricks
  • Ingest and load Data into the Data Warehouse
  • Transform Data with Azure Data Factory or Azure Synapse Pipelines
  • Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
  • Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
  • Analyze and Optimize Data Warehouse Storage
  • Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
  • Perform end-to-end security with Azure Synapse Analytics
  • Perform real-time Stream Processing with Stream Analytics
  • Create a Stream Processing Solution with Event Hubs and Azure Databricks
  • Build reports using Power BI integration with Azure Synapase Analytics
  • Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Course Content

  • Ingest data with Microsoft Fabric
  • Implement a Lakehouse with Microsoft Fabric
  • Implement Real-Time Intelligence with Microsoft Fabric
  • Implement a data warehouse with Microsoft Fabric
  • Manage a Microsoft Fabric environment

Price & Delivery methods

Online Training

Duration
4 days

Price
  • 1,995.— €
Dates and Booking
Enquire a date
Classroom Training

Duration
4 days

Price
  • Benelux: 1,995.— €
Dates and Booking
Enquire a date

Schedule

Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
This is a FLEX course, which is delivered both virtually and in the classroom.

English

Time zone: Central European Summer Time (CEST)   ±1 hour

Online Training This is a FLEX course. Time zone: Central European Summer Time (CEST)
Online Training Time zone: British Summer Time (BST) Course Language: English
Online Training Time zone: British Summer Time (BST) Course Language: English

6 hours difference

Online Training Time zone: Eastern Daylight Time (EDT) Course Language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course Language: English
Online Training Time zone: Eastern Standard Time (EST) Course Language: English
Online Training Time zone: Eastern Standard Time (EST) Course Language: English

7 hours difference

Online Training Time zone: Central Daylight Time (CDT) Course Language: English
Online Training Time zone: Central Daylight Time (CDT) Course Language: English
Online Training Time zone: Central Standard Time (CST) Course Language: English
Online Training Time zone: Central Standard Time (CST) Course Language: English

9 hours difference

Online Training Time zone: Pacific Daylight Time (PDT) Course Language: English
Online Training Time zone: Pacific Daylight Time (PDT) Course Language: English
This is a FLEX course, which is delivered both virtually and in the classroom.

The Netherlands

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