Azure Data Factory with Databricks setup connection
Both, Azure Data Factory and Azure Databricks offer transformations at scale when it comes to ELT processing. On top of that, ADF allows you to orchestrate the whole solution in an easy way. In a case, when you prefer to use Scala, Python or SQL code in your process, rather than Mapping Data Flow in ADF - you must link ADF to Databricks. I will show you how to do that in two ways.
VIDEO INDEX:
00:00 - Intro
00:42 - Two methods
02:22 - DEMO: Connect via PAT (Personal Access Token)
08:14 - DEMO: Connect via MSI (Managed Identity Authentication)
14:42 - Summary
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Azure Data Factory | Azure Data Factory Tutorial For Beginners | Azure Tutorial | Simplilearn
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This Azure Data Factory tutorial will help you understand what is a Data Factory, why we need Data Factory, what is a Data Lake along with a demo on Azure Data Factory. Azure Data Factory is one of the most important services offered by Azure. The data generated by digital products is increasing exponentially and there is a lot of data being accumulated from different streamlines. So, it becomes a big task in storing and analyzing this data. That's where Azure Data Factory comes into play. Azure Data Factory is a cloud-based data integration service that orchestrates and automates the movement and transformation of data. Azure Data Factory stores the data with the help of Data Lake storage, this data will be analyzed with the help of pipelines and then published in an organized manner. Now, let us get started and understand Azure Data Factory in detail.
Below topics are explained in this Azure data factory tutorial:
1. Why Data Factory? (00:09)
2. What is Azure Data Factory? (00:55)
3. What is a Data Lake? (02:55)
4. Demo (04:35)
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Azure Data Factory Tutorial | Introduction to ETL in Azure
Azure Data Factory is essential service in all data related activities in Azure. It is flexible and powerful Platform as a Service offering with multitude of...