Migrating on-premises Hadoop to a Cloud Data Lake - EMEA - Databricks

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Migrating on-premises Hadoop to a Cloud Data Lake

On-demand webinar

Companies count on their data and analytics platforms as the foundation of their innovation and digital transformation strategy. However, many on-premises Hadoop users struggle with its high costs, system complexity, unscalable infrastructure and DevOps burden.

In this webinar, we’ll cover why companies are switching to modern cloud based platforms like Databricks on AWS, and how they use it to drive innovation, productivity, business outcomes and reduce TCO of their data lake. We’ll also share a best practice framework for how to successfully migrate data and workloads to the cloud safely and securely.

We’ll cover topics including:

  • How companies drive business value with cloud-based data and analytics
  • How to use the new model of unified capabilities in data engineering and analytics
  • How an elastic compute model drives higher utilization and cost-to-performance
  • How technology components map from the on-premises model to the cloud model
  • How to plan and structure a migration project to minimize risks and delays
  • How modern ‘lake house’ architectures are deployed in AWS
  • AWS Database Migration Services

Accelerate your cloud migration initiatives to accelerate your business outcomes. Save your spot today!


  • Volker Tjaden, Partner Solutions Architect, Databricks
  • Igor Alekseev, Data & Analytics Partner SA at Amazon Web Services (AWS)
  • Guillermo G. Schiava D’Albano, Solutions Architect, Databricks