Waterline Data Empowers Users to Better Manage Petabytes of Data

Waterline Data is releasing the Smart Data Catalog (SDC) 4.03, the latest version of its solution designed to help enterprises with multiple petabytes of data mange it.

SDC 4.03 is offers Multi-petabyte scalability, native support for critical cloud, RDBMS, and big data platforms along with featuring the rapid expansion of support for new partner integrations and data sources.   

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; and easily govern data and make readily available for self-service analytics.   

With the rapid growth of the cloud, Waterline has extended its support to include Azure, Google Cloud Platform (in preview) and multiple simultaneous S3 environments to extend its prior support for AWS EMR and AWS S3 standalone environments. Waterline has also added support for MapR 5.2 in addition to its prior support for Cloudera and Hortonworks.

Waterline is also continuing to rapidly extend its partner integrations and data source support with expanded integration for market-leading partner solutions, including Paxata, Collibra and Trifacta as data catalog enabled applications.

Extended support for additional  Big Data, cloud and relational data stores includes Azure Blob store, multiple Amazon S3 buckets and Amazon SSE for secure data environments as well as Amazon Redshift, MS ADSL and MSSQL.   

“It’s do or die time for the petabyte organization,” said Andrew Ahn, VP of Product Management, Waterline Data. “It’s not how much data you house but what you’re able to do with it that will determine the fate of your organization. With Waterline, organizations can quickly complete that otherwise long and painful first step of cataloging their data for analysis and use.”

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