Data Catalog Cynthia Crossland November 27, 2018

Data Catalogs: A Big Must-Have for Big Data

You can’t say data catalogs haven’t gotten their due credit. Demand for them has certainly soared as organizations move to get their data assets in order so they can comply with regulations and strengthen their data-driven decision making.

And yet, a lot of organizations still haven’t bought into it. Gartner analyst Sanjeev Mohan was recently seemed stunned to discover while speaking at the Catalyst Conference that most of his audience of data professionals didn’t even know such catalogs existed. Without such solutions, the only other way to know what data the organization has or to ensure it’s properly governed for GDPR, HIPAA and other regulations is to catalog it manually—an impossible undertaking for today’s petabyte enterprises and, we believe, one reason why so many of their big data initiatives have stalled.

Make no mistake, data catalogs are a critical component of modern data architecture. But not all catalogs are the same. Big data continues growing at an exponential rate and technologies continue to rapidly evolve. Your data sources, use-cases, and business systems are sure to change over time as well. You need a data catalog that can satisfy your needs today and accommodate additional complexities in the future while avoiding silos of metadata.

An enterprise data catalog, such as the one developed by Waterline Data, allows you to create a unified inventory of data assets across your entire enterprise, integrating data from across the enterprise to support multiple use cases across data governance, compliance, self-service analytics, and data management. Single use or platform-embedded data catalogs, on the other hand, only support limited data sources or use cases. But there’s so much more.

Check out our recent on-demand webinar to learn how to differentiate different catalog offerings. In it, 451 Research VP Matt Aslett discusses the importance of:

  • Advanced AI to automatically identify and tag data sets
  • Cataloging across data lakes, relational data stores & the cloud
  • Integrating in a complex data ecosystem with usage scenarios
  • Technology designed for big data & modern data architectures

Register and watch today!