Exam DP203 Introduction: Difference between revisions
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# Azure HDInsight | # Azure HDInsight | ||
# Azure Machine Learning | # Azure Machine Learning | ||
# Azure Stream Analytics | |||
running the following [[Exam_DP203_languages|Languages]]:: | running the following [[Exam_DP203_languages|Languages]]:: | ||
| Line 33: | Line 34: | ||
# SQL | # SQL | ||
# Spark | # Spark | ||
# Spark Delta Lake | |||
# CosmosDB | # CosmosDB | ||
# Dataverse | # Dataverse | ||
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# CSV | # CSV | ||
# JSON | |||
# Parquet | # Parquet | ||
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. | 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. | ||
== | == Pages index == | ||
[[ | |||
[[Exam_DP203_Introduction]] | |||
[[Exam_DP203_Storage_2_Azure_Data_Lake_Storage_Gen2]] | |||
[[Exam_DP203_Storage_3_Azure_Lake_Database]] | |||
[[Exam_DP203_front-end_services_Azure_Synapse_Analytics_Studio]] | |||
[[Exam_DP203_Serverless_SQL_Pool]] | |||
[[Exam_DP203_Serverless_SQL_Pool_Authentication]] | |||
[[Exam_DP203_Dedicated_SQL_Pool]] | |||
[[Exam_203_back-end_services_Spark]] | |||
[[Exam_DP203_Synapse_Data_Pipelines]] | |||
[[Exam_DP203_Copy_Data_tool]] | |||
[[Exam_DP203_front-end_services_Databricks]] | |||
[[Exam_203_back-end_services_Spark_Delta_Lake]] | |||
[[Exam_DP203_Serverless_SQL_Pool_Authentication]] | |||
[[Exam_DP203_SQL_Management]] | |||
[[Exam_DP203_Synapse_Analytics_Security|Synapse Analytics Security]] | |||
[[Exam_DP203_Hybrid_Transactional_Analytical|Hybrid Transactional Analytical]] | |||
[[Exam_DP203_Azure_Stream_Analytics|Azure Stream Analytics]] | |||
[[Exam_DP203_front-end_services_Databricks|Azure Databricks]] | |||
[[Exam_DP203_Course_Tybul|Tybul course]] | |||
Latest revision as of 10:29, 22 November 2024
Introduction
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:
- 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
- Azure HDInsight
- Azure Machine Learning
- Azure Stream Analytics
running the following Languages::
- SQL
- Python
- Scala
on the following back-end services:
- SQL
- Spark
- Spark Delta Lake
- CosmosDB
- Dataverse
- Hadoop
authenticating with each other using the following authentication methodologies:
- Managed Identities
- username and password
Using the following data file formats:
- CSV
- JSON
- Parquet
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.
Pages index
Exam_DP203_Storage_2_Azure_Data_Lake_Storage_Gen2
Exam_DP203_Storage_3_Azure_Lake_Database
Exam_DP203_front-end_services_Azure_Synapse_Analytics_Studio
Exam_DP203_Serverless_SQL_Pool
Exam_DP203_Serverless_SQL_Pool_Authentication
Exam_203_back-end_services_Spark
Exam_DP203_Synapse_Data_Pipelines
Exam_DP203_front-end_services_Databricks
Exam_203_back-end_services_Spark_Delta_Lake
Exam_DP203_Serverless_SQL_Pool_Authentication