Forrester on advanced analytics: The imperative to move your data lake to the cloud

October 17, 2018

Harnessing big data is essential to competing in the modern economy. Most enterprises store and process big data in on-premises data lakes (i.e., Hadoop). Unfortunately, legacy big data frameworks have become increasingly difficult to manage and are, in turn, thwarting advanced analytics. Not only that, these systems bring long development times, high costs, and undue complexity.

Top market research firm Forrester reports that organizations that have transitioned to the cloud save “20-60 percent over on-premises infrastructure costs, since most over-provision their servers and storage and then need to manage these environments.”[1]

View this on-demand webinar to learn the business imperative for migrating your Hadoop architecture to the cloud – and how to maximize it for analytics once you’ve made the switch. Learn:

  • How CIOs can smartly invest to maximize their cloud data analytics
  • The merits of cloud data lake solutions like Amazon S3/EMR and Azure HD Insight
  • How to vastly reduce big data processing times (i.e., Spark pipeline development)
  • The opportunities and challenges that come with data lake initiatives and how to overcome them
  • How to prevent your data lake from becoming a data swamp

[1] “The Cloudy Future of Hadoop,” Forrester, 2017

Featured Speakers
Brian Hopkins

VP, Principal Analyst serving CIOs at Forrester Research

Diby Malakar

VP of Product Management at SnapLogic

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