Leveraging Azure Databricks for large and heterogeneous sources of data

With the exponential growth of AI-based solutions in the last few years, there has been a significant increase in focus on core data engineering capabilities. Organizations have been investing heavily in managing, processing and transforming large raw volumes of data to make it ready for Machine Learning and AI Learning.
How do they work and what is the best way to leverage their capabilities on a practical scale?
Learn the answers at our Speaker’s Corner, where our speaker - Karthikeyan Sivasubramanian, will rely on more than 2 decades of experience in software development, data and AI/ML solutions and share some helpful and practical insights!
We will talk about:
Introduction to Big Data, Spark and Databricks
Walkthrough of medallion architecture
Evolution from Datawarehouse to Delta Lakes
Projects in Azure Databricks
Managing Data Security and Access - unity catalogue
Join us!
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Join our expert team - check out the opportunities at jobs.ciklum.com/