International Business Machines Corporation

Emc IP Holding Company LLC

Rajesh Manjrekar

David Stephen Reiner

Berthold Reinwald

Nihar Nanda

John Sismanis

Timothy Bruce

Wensheng Wu

An apparatus in one embodiment comprises an analytics platform and a controller. The controller is associated with the analytics platform and configured to control automated deployment of analytics workspaces of the analytics platform. The analytics platform includes or otherwise has access to sets of at least data ingestion engines, data containers, analytics tools and virtual resources. The controller is configured to deploy a given one of the analytics workspaces of the analytics platform as an at least partially user-specified combination of particular selected ones of the data ingestion engines, data containers, analytics tools and virtual resources. The controller may additionally be configured to monitor usage of the combination of particular selected ones of the data ingestion engines, data containers, analytics tools and virtual resources of the given analytics workspace, and to alter the combination responsive to the monitoring.

Analytics platform and associated controller for automated deployment of analytics workspaces

A system and method for automatically discovering topical structures of databases includes a model builder adapted to compute various kinds of representations for the database based on schema information and data values of the database. A plurality of base clusterers is also provided, one for each representation. Each base clusterer is adapted to perform, for the representation, preliminary topical clustering of tables within the database to produce a plurality of clusters, such that each of the clusters corresponds to a set of tables on the same topic. A meta-clusterer aggregates results of the clusterers into a final clustering, such that the final clustering comprises a plurality of the clusters. A representative finder identifies representative tables from the clusters in the final clustering. The representative finder identifies at least one representative table for each of the clusters in the final clustering. The representative finder also arranges the representative tables by topic as a topical directory and outputs the topical directory.

Discovering topical structures of databases

Growing community of inventors

San Jose, CA, United States of America

Rajesh Manjrekar