by Angela Guess
A recent press release states, “Waterline Data today announced the release of Smart Data Catalog (SDC) 4.03, the latest version of its solution designed to help enterprises with multiple petabytes of data, manage and gain insight into data instead of drowning in it. SDC 4.03 is the most powerful and proven enterprise-class data catalog available in the market that offers: Multi-petabyte scalability; Native support for critical cloud, RDBMS, and Big Data platforms; Rapid expansion of support for new partner integrations and data sources. ‘It has become clear that the data catalog is a fundamental enabler – not just for data management within a data lake, but also for a variety of related business use cases – and Waterline Data has been at the forefront of helping enterprises unlock the value of data with its Smart Data Catalog,’ said Matt Aslett, Research Director, Data Platforms and Analytics, 451 Research. ‘The company continues to evolve its product with the addition of machine learning-based automation, improved scalability, and native support for both cloud-based and on-premises big data environments’.”
The release goes on, “The power of SDC is in its unique ability to replace the identification, contextualization, and rationalization of data with an automated process that uses machine learning and crowd-sourcing so customers can: Rapidly classify and organize all of an organization’s data assets and lineage; Convert used, stagnant, and even previously unknown data into discoverable assets; Easily govern data and make readily available for self-service analytics. With its ability to automatically profile and tag billions of rows of data, SDC 4.03 is now by far the most scalable data platform in the industry helping global organizations rapidly convert their data swamps back into data lakes. By continuing to focus heavily on SDC’s rapid growth in performance and scale—so data analysts can spend more time using data for competitive advantage and less time looking for it—Waterline has helped customers cut data processing time by up to 10X.”
Read more at PR Newswire.
Photo credit: Waterline Data