End to End Data Integration Project From Multiple Sources - Session 1

Описание: Azure Data Factory, DataBricks, Medallion Architecture, Synapse

Self hosted IR Video below
   • S29.Azure Data Factory - Self Hosted IR an...  

Azure Data Factory: Explore the power of Azure Data Factory for seamless data integration and orchestration.
Databricks: Learn how to leverage the capabilities of Databricks for big data analytics and machine learning.
Azure Synapse Analytics: Discover the features of Synapse Analytics, Microsoft's unified analytics service.
ETL (Extract, Transform, Load): Dive into the essential concepts of ETL processes for efficient data movement.
Data Warehousing: Understand the fundamentals of data warehousing and its importance in modern analytics.
Snowflake: Uncover the benefits of Snowflake, a cloud-based data warehousing platform.

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Setting Up Azure Environment: Learn how to create and configure essential Azure services such as Azure Data Factory and Azure Storage for your data integration project.
Data Extraction with Azure Data Factory: Dive into the process of extracting data from various sources using Azure Data Factory, ensuring efficient and reliable data movement.
Data Transformation with Databricks: Explore the capabilities of Azure Databricks for data transformation tasks, making your data ready for analysis and reporting.
Data Loading into Snowflake: Witness the seamless loading of transformed data into Snowflake, a cloud-based data warehousing platform known for its performance and scalability.
Synapse Analytics for Advanced Analytics: Discover how to leverage Azure Synapse Analytics for advanced analytics and gain valuable insights from your integrated data.
Monitoring and Optimization: Get insights into monitoring your data integration pipeline and optimizing performance for enhanced efficiency.

Files Path
https://github.com/sanish21/ThomTechP...

Remaining Project Videos for the Real Time Project from Session 2 to Session 5 is below link
https://www.udemy.com/course/azure-da...