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We warmly invite you to join our engaging and informative meetup, where we'll explore the captivating world of Data Stewardship with a focus on Cloudera's Data Catalog.

In this friendly and professional session, our expert speaker, Hemanth, will share his expertise and knowledge among participants, as we delve into the intricacies of Data Lakes and GDPR compliance within the Pharma industry.

During this interactive session, Hemanth will guide us through key concepts related to Cloudera Data Catalog, including:

  1. Data Lake insights: Discover practical tips, tricks, best practices, and patterns to effectively search and manage information within Data Lakes using Cloudera Data Catalog. Learn from real-life use cases to illustrate these concepts.
  2. GDPR and Pharma: Understand the critical role of GDPR within the Pharma industry and how Cloudera Data Catalog helps organizations navigate the complexities of data protection and privacy regulations.
  3. Data Anonymization: Dive deep into the art of Data Anonymization, exploring its significance and techniques to ensure compliance with GDPR while leveraging Cloudera Data Catalog's capabilities.
  4. The Right to be Forgotten: Learn about the importance of the "Right to be Forgotten" and how Cloudera Data Catalog can assist organizations in successfully implementing this fundamental principle.

Whether you're a seasoned professional or just starting out in the field, this meetup promises to be an enriching and enjoyable experience.
Come prepared to engage in dynamic conversations and leave equipped with valuable insights that will help you excel in your professional journey.

We look forward to welcoming you to our friendly community, where you can connect with like-minded professionals, exchange ideas and grow your network.

Don’t miss this opportunity to dive into the world of Cloudera Data Catalog and Data Stewardship.

See you there!

Related topics

Big Data
Data Science
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Apache

Sponsors

Cloudera

Cloudera

We deliver an enterprise data cloud from the Edge to AI.

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