Create Production Workloads on Azure Databricks with Azure Data Factory

Azure Data Factory helps you create workflows that orchestrate data movement and transformation at scale. Integrate Azure Databricks into your production pipelines by calling notebooks and libraries.

The session will focus on Azure services and related products like Azure Databricks, Azure Data Lake, Azure Data Factory & Apache Spark.

In this session, you'll Create an Azure Data Factory pipeline with a Databricks activity and execute a Databricks notebook with a parameter.

Further Learnings- https://aka.ms/AzureDataFactory-LearnModule


Speaker Info- Jigar pathak

Speaker BIO- Jigar is a Partner & Sr. Solutions Architect with TechScalable has 16+ years’ experience. He has trained more than 2500+ IT professionals across the globe via classroom & virtual session. Professionals trained includes Microsoft Russia, Microsoft Global partners, Infosys, Accenture, Wipro, TCS etc. Delivered Azure certification training under women empowerment program at Saudi Arabia.
Being a Multi-cloud solution architect, he has successfully completed certifications from Microsoft which includes MCSE: Cloud Platform and Infrastructure, MCSA: Cloud Platform Microsoft Certified Solutions Associate, MCT: Microsoft Certified Trainer.

Social Handle-

Facebook- https://facebook.com/jigarshr
LinkedIn- https://www.linkedin.com/in/jigarpathak/
Twitter- https://twitter.com/jigarshr

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