Masterclass on ‘Supercharge Data Analytics’

Learn how to run Data Science workloads on an accelerated Cloudera Data Platform in this power session by Cloudera & NVIDIA.
Masterclass on ‘Supercharge Data Analytics’

Exponential technologies such as artificial intelligence and data science have accelerated the growth of enterprises across the world. Even slight upgrades in analytics models translate to much-improved bottom lines. To optimise ML models, data scientists have to relentlessly train, evaluate, iterate, and retrain.

With Cloudera Data Platform Powered by NVIDIA, enterprises can seamlessly deploy data analytics on critical applications like Spark 3.0 without any code changes. Organisations can analyse data in real-time to gain the intel needed to meet the evolving customer demands.

Running data science workloads on an accelerated Cloudera Data Platform expedites time to value by enabling data scientists to collaborate on a single unified platform. With GPU acceleration, data science teams can leverage purpose-built tooling for agile experimentation, data analytics and machine learning– 10x faster and at a much lower cost.

Cloudera and NVIDIA, in association with Analytics India Magazine, are organising a masterclass on ‘Supercharge Data Analytics’ on 26 April 2022 from 3:00 PM to 4:00 PM to teach you how to run Data Science workloads on an accelerated Cloudera Data Platform.


With Cloudera + NVIDIA, one can: 

  • Expand AI use cases with a complete production ML toolkit enabled by NVIDIA computing.
  • Generate models that produce highly accurate data and insights trusted by the business.
  • Operate a fully secure ML environment that can meet evolving requirements.
  • Reduces ML training time and the frequency of model deployment from days to minutes.

Who should attend?

  • Data science, data engineering, analytics and AI enthusiasts
  • Data engineering professionals and aspirants
  • Analytics leaders, CDOs/data leads
  • Data science and analytics professionals looking to pivot


Speaker details 

Saurav Agarwal, Senior Solutions Architect, NVIDIA

Saurav has around ten years of data industry experience in implementing AI/data science/analytics solutions on big data platforms, including large-scale data lake systems. He is an experienced senior architect and seasoned data engineer with experience in building distributed real-time data science pipelines. In addition, he has hands-on architecture and implementation experience in enterprise data landscapes, including Hadoop and Spark ecosystems. 

Saurav has been part of multiple large-scale projects covering end-to-end data landscape solutions for industries like automotive, supply chain, health care, banks, fintech, and more. His top projects include streaming predictive alerts of heart ailments for a major healthcare provider and building a petabyte-scale data lake for a large fintech firm and its various partner consumers.

Piyush Agarwal, Head Pre Sales- South Asia, Cloudera

Piyush Agarwal is a BI & big data analytics presales leader & solution architect with over 17 years of rich experience in empowering enterprise customers to gain insights from their data. By translating customers technology needs into solutions to realise their business goals, he has managed complex technical environments to help start-ups and established organisations grow their business. The customers Piyush has worked with span industry verticals, such as banking and finance, telecommunications, manufacturing and large conglomerates.

In his current role, Piyush manages technical teams in-person and remotely across multiple geographical locations, heading presales for India and South Asia. He continues supporting enterprises in accelerating their business growth by driving customer acquisition & stickiness, optimising operational efficiencies and reducing risk & fraud through Cloudera’s hybrid data cloud solutions. 

So, what are you waiting for, register now to learn how to run data science workloads on an accelerated Cloudera Data Platform.


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Amit Raja Naik
Amit Raja Naik is a seasoned technology journalist who covers everything from data science to machine learning and artificial intelligence for Analytics India Magazine, where he examines the trends, challenges, ideas, and transformations across the industry.

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