Mahesh Balija is a Cloud Solution Architect specialized in IOT, Data and AI, he likes solving challenges with Big Data and always love to work with bleeding edge technologies such as Quantum Computing to solve complex problems.

He have helped organizations from far east to far west to migrate their Classical Data Warehouses and setup centralized Data Lakes to extract valuable insights from data. Mahesh works as a Cloud Solution Architect at Microsoft in One Commercial Partner.

Sessions

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.
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
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