Data Engineering on Microsoft Azure (DP-203T00)

 

Course Overview

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

Who should attend

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Certifications

This course is part of the following Certifications:

Prerequisites

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

Specifically completing:

Course Content

  • Introduction to data engineering on Azure
  • Introduction to Azure Data Lake Storage Gen2
  • Introduction to Azure Synapse Analytics
  • Use Azure Synapse serverless SQL pool to query files in a data lake
  • Use Azure Synapse serverless SQL pools to transform data in a data lake
  • Create a lake database in Azure Synapse Analytics
  • Analyze data with Apache Spark in Azure Synapse Analytics
  • Transform data with Spark in Azure Synapse Analytics
  • Use Delta Lake in Azure Synapse Analytics
  • Analyze data in a relational data warehouse
  • Load data into a relational data warehouse
  • Build a data pipeline in Azure Synapse Analytics
  • Use Spark Notebooks in an Azure Synapse Pipeline
  • Plan hybrid transactional and analytical processing using Azure Synapse Analytics
  • Implement Azure Synapse Link with Azure Cosmos DB
  • Implement Azure Synapse Link for SQL
  • Get started with Azure Stream Analytics
  • Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
  • Visualize real-time data with Azure Stream Analytics and Power BI
  • Introduction to Microsoft Purview
  • Integrate Microsoft Purview and Azure Synapse Analytics
  • Explore Azure Databricks
  • Use Apache Spark in Azure Databricks
  • Run Azure Databricks Notebooks with Azure Data Factory

Prices & Delivery methods

Online Training

Duration
4 days

Price
  • 2,590.— €

Courseware language: English

Dates and Booking
Request a date
Classroom Training

Duration
4 days

Price
  • Germany: 2,590.— €
  • Switzerland: CHF 2,750.—
incl. catering

Courseware language: English

Dates and Booking
Request a date

Schedule

Guaranteed date:   The course is guaranteed to run regardless of the number of participants. This excludes unforeseeable events (e.g. accident, illness of the trainer) which make it impossible to carry out the course.
Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

European Time Zones

Online Training
Classroom option: Utrecht, Netherlands
Online Training
Online Training
Online Training
Classroom option: Utrecht, Netherlands
Online Training
Online Training
Online Training
Classroom option: Utrecht, Netherlands

6 hours difference to Central European Time (CET)

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

7 hours difference to Central European Time (CET)

Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)

8 hours difference to Central European Time (CET)

Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)

9 hours difference to Central European Time (CET)

Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)
Guaranteed date:   The course is guaranteed to run regardless of the number of participants. This excludes unforeseeable events (e.g. accident, illness of the trainer) which make it impossible to carry out the course.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Germany

Hamburg Guaranteed date!
Frankfurt
Munich
Hamburg
Münster
Munich
Stuttgart
Düsseldorf
Frankfurt
Berlin

Switzerland

Zurich
Zurich
Zurich
Zurich
Zurich

If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.