Understand and Deal with Common Impediments to Cloud Analytics Success

Webinar: 4 Data Engineering Challenges of Cloud EDW and Cloud Big Data Analytics


April 25 at 2pm ET / 11am PT

Most organizations are moving to the cloud to handle their big data analytics. It is perceived as more cost effective, easier to get started, and easier to manage compared with on-premise alternatives. And this is largely true. However, while moving your big data analytics processing into the cloud does have some big advantages, there are also some significant challenges you need to be aware of before you get started.

In this webinar, you will learn about 4 critical challenges to prepare for as you move your data analytics and machine learning pipelines into the cloud, including:

  • Hand coding requirements, even in the easier-to-use cloud environment
  • Promoting development data pipelines into full enterprise production
  • Moving data and data pipelines from on premise to cloud, as well as cloud to cloud
  • Managing data pipelines that flow across clouds

In this 45-minute webinar, you'll learn about what to look out for and case studies on how organizations have addressed those challenges.

To reserve your space, simply fill out the form and click "submit."





  Ramesh Menon, VP Product,


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