Migrating on premises Hadoop to a Cloud Data Lake

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Migrating on premises Hadoop to a Cloud Data Lake: Header Image

Migrating on premises Hadoop to a Cloud Data Lake

Available on-demand

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

Featured Speakers

  • Brian Dirking, Sr. Director of Partner Marketing, Databricks
  • Denis Dubeau, AWS Partner Solution Architect Lead, Databricks
  • Igor Alekseev, Data & Analytics Partner SA, Amazon Web Services (AWS)

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