Session

A Case Study - Pipeline parameterization and operationalization using Azure Data Factory

A Case Study - Pipeline parameterization and operationalization using Azure Data Factory

In this session, I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure Data Lake Gen2. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. Also How to send an email using ADF and Logic Apps.Also will show demo using Text Analytics using ADF and Azure Analytics This demo will also use the following technologies:
* Azure Key Vault
* Azure Data Lake GEn 2
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
* Azure Logic Apps
* Azure Cognitive Service

The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios. Also It will help to prepare for DP-203 example.

Alpa Buddhabhatti

Microsoft Data MVP, MCT, Azure Data Engineer

London, United Kingdom

View Speaker Profile

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top