The Data Lake Reference Architecture

Leveraging a Data Reference Architecture to Ensure Data Lake Success

Companies are bursting at the seams with data that they would like to leverage to transform their business, but are quickly realizing that traditional technologies can't support their digital transformation or meet their new business needs.

As a result, many organizations are modernizing their data platforms, turning to scale-out architectures such as data lakes. But a poorly architected data lake is also limiting. It can result in a data swamp where data is dumped indiscriminately, providing limited visibility, and thus, limited value. Architecting a data lake for success requires a thoughtful approach.

This paper outlines a reference architecture for a data lake that can set you on the right path. This paper will discuss:

  • Zaloni’s data lake reference architecture
  • Future-proofing your data lake stack
  • Example case studies with data flows

Architecting Data Lakes

Previous Article
Migrating On-Premises Data Lakes to Cloud
Migrating On-Premises Data Lakes to Cloud

Learn how you can migrate your on-premises data lake to the cloud for cost reduction and without loss of se...

No More Flipbooks

×

Get a custom demo for your team.

First Name
Last Name
Company
Phone Number
Country
State
Job Title
Topic
Comments - optional
I would like to subscribe to email updates about content and events
Zaloni is committed to the best experience for you. Read more on our Privacy Policy.
Thank you! We'll be in touch!
Error - something went wrong!