About the AuthorMore Content by Scott Gidley
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5 Guidelines for Building a Successful Data Catalog
Navigate the muddy waters of building an actionable data catalog, especially in the cloud, and increase your chances of success by following these guidelines.
Zaloni Data Platform (ZDP) to Manage Your Internal Data Marketplace
Data Governance and Data Science, Working Together
Data discovery sandboxes offer even more value if they are easily merged into an automated end-to-end process between back-end governance and self-service engagement by analysts. Read more!
Advance your analytics using the Zaloni Data Platform (ZDP) and AWS
In this eBook, learn how data catalogs can provide a data marketplace and safely enable data discovery across your enterprise with Zaloni and AWS.
Centralized Data Marketplace and Governed Access for Advanced Analytics
Learn how an organization has made their data more understandable and usable for self-service data preparation and analytics.
Enterprise-Wide Data Catalog for Cloud-Based Data Lake
Cloud-Based Enterprise Data Lake Provides Shared Access Across Lines of Business
Automated Data Inventory
There are numerous methods of ingesting files into a data lake and a plethora of point solutions that support them.No matter the method used, the Zaloni Data Platform can help.
ZDP Catalog + Overview
[Demo] Accessing Data in the Lake: Data Catalog
A data lake is only successful if the data can be accessed. Fortunately, Zaloni’s Data Lake Management Platform provides a catalog and self-service tools that bring transparency to the lake.
What Is Metadata and Why Is It Critical in Today’s Data Environment?
Excerpt from ebook, Understanding Metadata: Create the Foundation for a Scalable Data Architecture, by Federico Castanedo and Scott Gidley.
Create the Foundation for a Scalable Data Architecture
Metadata is Critical for Fishing in the Big Data Lake
Excerpt from report, Managing the Data Lake: Moving to Big Data Analysis, by Andy Oram, editor at O’Reilly Media
The Business Case for Data Lakes
The data warehouse solved many challenges but data lakes solve even more. Discover how your organization can use data lakes to get better business analytics.
Validating Data in the Data Lake: Best Practices