In this workshop you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud. You will understand the architecture of an Azure Databricks Spark Cluster and Spark Jobs.

This session will focus on Azure Databricks, Azure Data Lake, Azure Storage Account, Apache Spark.

Further Learning: https://aka.ms/Sparkarchitecture-LM

What will you learn from the session :
You will work with large amounts of data from multiple sources in different raw formats. You will learn how Azure Databricks supports day-to-day data-handling functions, such as reads, writes, and queries.

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

Social Handle

LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/