Mahesh is a Big Data Veteran with nearly 10 years of history in helping organizations in building Big Data Platforms, setting Data Lakes and Modern Data Warehouse. Being a Cloud Solution Architect for Data and AI at Microsoft I enable technical community to design and architect Data and AI solutions on Azure. Mahesh plays a key role in helping organizations to envision to have a Data First strategy to become successful in making Data Driven Decisions.


Azure Databricks support both Classic and Deep Learning ML Algorithms to analyse Large DataSets at scale. The Integrated Notebook experience gives the Data Scientists and Data Engineers to do exploratory Data Analysis, also feels like native to Jupyter notebook users. In this session we will extract intelligence from Higgs Dataset (Particle Physics) by running Classic and Deep Learning models using Azure Databricks. We will also peek into AMl service's integration with Azure Databricks for managing the end-to-end machine learning lifecycle.