Advance your analytics using the Zaloni Data Platform (ZDP) and AWS

Data lakes and safe data discovery

Data lakes are increasingly used to harness and derive value from large volumes of data. They typically contain wide varieties of structured and unstructured data, with unique requirements for access, data governance, data management, and compliance. 

Structured data, like a spreadsheet, is organized into rows and columns, readily searchable, and easy to analyze. Unstructured data— such as chat log files, time-series data, or social media data—is more challenging to analyze.

Self-service data lake operations can help enterprises accelerate time-to-value for analytics initiatives and enable data users to discover and provision their own data sets. Yet self-service data lakes also need to be governed, compliant with regulations, and secured.

In this eBook, learn how the Zaloni Data Platform (ZDP) and Amazon Web Services (AWS) can help you effectively govern and manage data lakes. Learn how data catalogs can provide a data marketplace and safely enable data discovery across your enterprise.

Previous Flipbook
Architecting Data Lakes
Architecting Data Lakes

Revised for 2018 - Data Management Architectures for Advanced Business Use Cases

Next Article
Cloud-Based Data Lake for a Next Generation Data Platform
Cloud-Based Data Lake for a Next Generation Data Platform

As companies are modernizing their data architectures and moving from traditional data warehouses to data l...


Get a custom demo for your team.

First Name
Last Name
Phone Number
Job Title
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!