Enabling an Open Cloud Data Lake Architecture On-Prem with Pure & Dremio

Data engineers and scientists are frustrated and overwhelmed. They are spending too much time bogged down by time-consuming queries and complex data architectures.

The increasing need for fast, reliable & self-service analytics to drive business decisions has put a major strain on data teams and data architectures. Now more than ever, organizations are looking for new ways to meet the needs of the data user while ensuring a simpler and more cost-effective approach. This challenge is one of the reasons why organizations are embracing an Open Data Lake Architecture. An Open Data Lake provides the advantage of using open source technologies to get analytics on the data lake without having to use proprietary software that requires vendor lock-in.

Want to know more? Join this session to learn how organizations are using open source technologies to get analytics on the data lake without having to use proprietary software that requires vendor lock-in.

Speakers

Brett Roberts
Principal Solutions Architect
Dremio

Navin Albert
Sr. Solutions Manager
Pure Storage

Ryan Murray
Principal Consulting Engineer
Dremio

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Learn how Dremio & Pure can:

Enable customers to build a fast, simple, and cost-effective Open Data Lake on-prem.
Achieve timely insights without operational complexity.
Reduce storage complexity and control costs using a single, unified file and object store platform.
Scale resources elastically and on-demand without application disruption.
Implement a data protection strategy that protects and restores your analytics data from ransomware attacks.
Deliver cloud-like economics where you only pay for the storage you consume.
And more!

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