Master Data Engineering using Azure Data Analytics
Learn Azure Storage for Data Lake, ADF for ETL, Synapse for Data Warehouse, Databricks for Big Data Pipeline, etc
4.60 (287 reviews)
3 018
students
12.5 hours
content
Feb 2024
last update
$64.99
regular price
What you will learn
Data Engineering leveraging Services under Azure Data Analytics such as Azure Storage, Data Factory, Azure SQL, Synapse, Databricks, etc.
Setup Development Environment using Visual Studio Code on Windows
Building Data Lake using Azure Storage (Blob and ADLS)
Build Data Warehouse using Azure Synapse
Implement ETL Logic using ADF Data Flow with Azure Storage as Source and Target
In Depth Coverage of Orchestration using ADF Pipeline
Overview of Azure SQL and Azure Synapse Serverless and Dedicated Pool Features
Implement ETL Logic using ADF Data Flow with Azure SQL as Source and Azure Synapse as Target
Using Data Copy to copy data between different sources and targets
Performance Tuning Scenarios of ADF Data Flow and Pipelines
Build Big Data Solutions using Azure Databricks
Overview of Spark SQL and Pyspark Data Frame APIs
Build ELT Pipelines using Databricks Jobs and Workflows
Orchestrate Databricks Notebooks using ADF Pipelines
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5062160
udemy ID
05/01/2023
course created date
13/01/2023
course indexed date
kokku
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