Hitachi Vantara, a subsidiary of Hitachi Ltd focused on digital infrastructure, data management, analytics, and digital solutions brought new Lumada DataOps capabilities for automated, artificial intelligence (AI)-driven data operations for enterprise clients and Lumada DataOps. The new capability will enable the users to utilize advanced analytics capabilities for business uses.
“Unlike traditional data management solutions that lock customers into proprietary technologies, the Lumada DataOps and Lumada Industrial DataOps portfolio products augment any ecosystem to manage and govern data from anywhere No matter where our clients’ data lives, we help them discover, analyze, govern and monetize it through Lumada DataOps in addition to data and analytics consulting services, helping clients propel their business with better data insights,” stated Radhika Krishnan, Chief Product Officer at Hitachi Vantara.
New addition enables organizations to develop a seamless data fabric that can be controlled by an enhanced data catalogue for automated enhancement of quality and governance. Internet of Things (IoT) analytics models for industrial contexts that seamlessly mix IT and OT data to deliver breakthrough business insights are part of Pentaho’s Lumada Industrial DataOps portfolio. Customers can save time and effort by discovering, accessing, preparing, and blending data from a variety of sources and places using data integration backed by Pentaho technology.
The process of collecting, integrating, governing, and analysis of data can be done on an open and composed of enterprise data on an intelligent platform using Lumada DataOps. The new update of the platform includes a data catalogue and data integration. Business insights will be provided quickly using Data Catalog v7.0 using data built on Tahoe technology consisting of a powerful new user interface, data quality, and Collibra connectivity. With Pentaho v9.3, users can integrate data across hybrid clouds using flexible cloud deployment and new connectors for cloud data storage.