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: | |||
# Azure Blob Storage | |||
# Azure Data Lake Storage Gen2 | |||
# Azure Lake Database | |||
# Azure SQL Database | |||
involving the following front-end services: | |||
# Azure Synapse Analytics Studio | |||
# Databricks | |||
# Microsoft Purview | |||
running the following languages: | |||
# SQL | |||
# Python | |||
# Scala | |||
on the following back-end services: | |||
# SQL | |||
# Spark |
Revision as of 19:22, 11 November 2024
This is the introduction page to my study notes on exam DP 203 Microsoft Certified Azure Data Engineer.
which links through to the free online course for this, which I have studied:
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:
- Azure Blob Storage
- Azure Data Lake Storage Gen2
- Azure Lake Database
- Azure SQL Database
involving the following front-end services:
- Azure Synapse Analytics Studio
- Databricks
- Microsoft Purview
running the following languages:
- SQL
- Python
- Scala
on the following back-end services:
- SQL
- Spark