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Cloudera Cloudera

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When you launch new workloads and analytics in the cloud, you need to ensure your organization is taking the proper steps to develop a data-driven strategy. This allows you to take advantage of the scale and efficiencies of the cloud while getting faster time to value from your investment in a data platform.

In this webinar, you’ll learn from an expert on our professional services team, the best practices to:

  • A strategic approach to launching new applications and data pipelines in the cloud

  • Take the first steps to deploy cloud-based workloads with a secure Data Lake

  • Factors to be considered when building a new Data Lake in the cloud

  • Design scenarios with examples

Speakers

Senior Solutions Architect

Vijay Anand Karthikeyan

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Vijay has over 15 years of experience architecting and developing secure, scalable, and fault-tolerant Big Data Analytic solutions. With HP/HPE, he was a Technical Leader for delivery teams managing Analytics Platforms as a service for customers on-prem, private, and public clouds for customers around the globe. For DXC, he architected a FedRAMP ready Analytics Platform in AWS for its Healthcare customers. With Hortonworks/Cloudera, he is helping customers solve their data-related challenges scaling to petabytes of data and thousands of nodes across various use cases - data engineering & data warehouse, streaming & machine learning. He is an expert at implementing solutions in AWS, Azure & K8s platforms.

Senior Solutions Architect

Kiran Jilla

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Kiran is an innovative strategist and experienced Cloud and Big Data professional with deep expertise in using cloud-native services to architect large-scale complex, enterprise solutions to meet customer needs. Kiran has delivered solutions with a strong emphasis on performance-focused development and analyzing end-to-end transaction flows to identify performance bottlenecks. He has evaluated new technologies and software products to determine feasibility and desirability of incorporating their capabilities into the applications.

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