Back to Courses

DP-203: Data Engineering on Microsoft Azure

In this course, students will learn about data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will understand the core compute and storage technologies that are used to build an analytical solution.

The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks or how to ingest using Azure Data Factory or Azure Synapse pipelines.

The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how to create a real-time analytical system to create real-time analytical solutions. 

Upcoming trainings in English:

  • Beginning at September 11th (English)
Implementation: Class (in English), Class (in Finnish), Online (in English), Online (in Finnish)
Length: 4 days
Starting dates: 11.9.2024 , 13.11.2024
Material: Microsoft English Material (MOC)

Audience profileWhyPrerequisitesCourse content

1990,00  (Excl. Tax)

Training card: valid for payment
Quantity:
Antti Kontiainen

Antti “Kontti” Kontiainen

Consulting & Training

Antti is an experienced consultant and trainer who has received a lot of positive feedback about his ability to present difficult technical matters in an understandable way.