Getting Started with Azure Data Bricks

23 April 2023 ( 3PM To 4.30PM IST ) 87 (Registered Users)

  • Live Session

  • 2 Hrs. Session

  • Hands-On Labs

  • Skill Tests

  • 24X7 LMS Access

  • VIP Support Group

Who is This Training For?
Freshers/College Students
Software Engineers/Developers
Tech Leads and Managers
Freelancers/Solopreneurs
Women After a Career Gap
Anyone Looking for a Change
Watch Master Class
What You'll Learn?

Azure data bricks is a cloud service that provides scalable performance. This Class is designed for Software developers who want to take their skills to the next level. The course covers all basic Concepts and an overview of Azure bricks, identifying workloads and key concepts of Azure data bricks. 

In this Masterclass, the speaker will share his experience with Azure data bricks' various concepts implementation.

 Agenda

  • Introduction to BigData
  • Get started with Azure Data Bricks
  • Identify Azure Data Bricks Workload
  • Understand Key Concepts 
  • Summary

 Who Can Join?

  • Freshers 
  • Junior Developers
  • Software Developers
  • Tech Leads

 What will You get?

In this Master Class, you will learn about various concepts of Azure data bricks and workloads and much more. You will learn to identify the various workloads of Azure data bricks like data science, engineering, machine learning and AI.  Enrol now and start building scalable, faster, and more efficient applications today!

About Speaker

Speaker image

Anurag Singh (Al Architect )


Anurag is a Principal Al Architect specialized in big data,  data science , machine learning, and AI systems architecture.  He is leading the design and development of petabyte-scale data and analytics and innovation architecture focused on a future-looking modern data architecture on the cloud that supports the real-time analytics, Al innovation factory /platform, advanced analytics , reporting and analytics, insights integration, self service enablement , reliability, speed to market , governance, performance, security and cost.  

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