Exam DP203 Introduction: Difference between revisions

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https://learn.microsoft.com/en-us/credentials/certifications/azure-data-engineer/?practice-assessment-type=certification#certification-prepare-for-the-exam
https://learn.microsoft.com/en-us/credentials/certifications/azure-data-engineer/?practice-assessment-type=certification#certification-prepare-for-the-exam


Having read through it, I can see that the overarching principle involved is that Azure services in scope for this course are built on top of four fundamental types of data storage within Azure:
Having read through it, I can see that the overarching principle involved is that Azure services in scope for this course are built on top of four fundamental types of data storage within Azure:
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# SQL
# SQL
# Spark
# Spark
authenticating with each other using the following methodologies:
# Managed Identities
# username and password
I will create Wiki pages here for each of the above, and document the content of the course in the context of links to the above items also.

Revision as of 19:25, 11 November 2024

This is the introduction page to my study notes on exam DP 203 Microsoft Certified Azure Data Engineer.

https://learn.microsoft.com/en-us/credentials/certifications/azure-data-engineer/?practice-assessment-type=certification

which links through to the free online course for this, which I have studied:

https://learn.microsoft.com/en-us/credentials/certifications/azure-data-engineer/?practice-assessment-type=certification#certification-prepare-for-the-exam

Having read through it, I can see that the overarching principle involved is that Azure services in scope for this course are built on top of four fundamental types of data storage within Azure:

  1. Azure Blob Storage
  2. Azure Data Lake Storage Gen2
  3. Azure Lake Database
  4. Azure SQL Database

involving the following front-end services:

  1. Azure Synapse Analytics Studio
  2. Databricks
  3. Microsoft Purview

running the following languages:

  1. SQL
  2. Python
  3. Scala

on the following back-end services:

  1. SQL
  2. Spark

authenticating with each other using the following methodologies:

  1. Managed Identities
  2. username and password

I will create Wiki pages here for each of the above, and document the content of the course in the context of links to the above items also.